diff --git a/notebooks/sample_network_analysis.ipynb b/notebooks/sample_network_analysis.ipynb
index 552a6d6..e09cd3c 100644
--- a/notebooks/sample_network_analysis.ipynb
+++ b/notebooks/sample_network_analysis.ipynb
@@ -13,7 +13,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This notebook is an introduction to the analysis of unsolved and solved networks generated by PyPSA-Earth tutorial."
+    "This notebook is an introduction to the analysis of unsolved and solved networks generated by PyPSA-Earth tutorial.  \n",
+    "\n",
+    "A related Youtube tutorial with additional explanations can be found [here](https://www.youtube.com/watch?v=2nakM174CME)."
    ]
   },
   {
@@ -79,7 +81,7 @@
     "    os.chdir(\"..\")\n",
     "sys.path.append(os.path.dirname(os.getcwd())+\"/pypsa-earth/scripts\")\n",
     "    \n",
-    "from _helpers import sets_path_to_root, progress_retrieve"
+    "from _helpers import progress_retrieve"
    ]
   },
   {
@@ -148,14 +150,22 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "WARNING:pypsa.io:Importing network from PyPSA version v0.20.1 while current version is v0.22.1. Read the release notes at https://pypsa.readthedocs.io/en/latest/release_notes.html to prepare your network for import.\n",
+      "/opt/homebrew/Caskroom/miniforge/base/envs/pypsa-earth/lib/python3.10/site-packages/pypsa/components.py:323: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[]' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
+      "  attrs.loc[bool_b, \"default\"] = attrs.loc[bool_b].isin({True, \"True\"})\n",
+      "/opt/homebrew/Caskroom/miniforge/base/envs/pypsa-earth/lib/python3.10/site-packages/pypsa/components.py:323: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[]' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
+      "  attrs.loc[bool_b, \"default\"] = attrs.loc[bool_b].isin({True, \"True\"})\n",
+      "/opt/homebrew/Caskroom/miniforge/base/envs/pypsa-earth/lib/python3.10/site-packages/pypsa/components.py:323: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[]' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
+      "  attrs.loc[bool_b, \"default\"] = attrs.loc[bool_b].isin({True, \"True\"})\n",
+      "/opt/homebrew/Caskroom/miniforge/base/envs/pypsa-earth/lib/python3.10/site-packages/pypsa/components.py:323: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '[]' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
+      "  attrs.loc[bool_b, \"default\"] = attrs.loc[bool_b].isin({True, \"True\"})\n",
+      "WARNING:pypsa.io:Importing network from PyPSA version v0.20.1 while current version is v0.25.1. Read the release notes at https://pypsa.readthedocs.io/en/latest/release_notes.html to prepare your network for import.\n",
       "INFO:pypsa.io:Imported network elec_s_6_ec_lcopt_Co2L-4H.nc has buses, carriers, generators, global_constraints, lines, links, loads, storage_units, stores\n"
      ]
     }
    ],
    "source": [
-    "#add_electricity_network = os.getcwd() + '/networks/unsolved/elec.nc'\n",
-    "#clustered_network = os.getcwd() + '/networks/unsolved/elec_s_6.nc'\n",
+    "#add_electricity_network = os.getcwd() + \"/networks/unsolved/elec.nc\"\n",
+    "#clustered_network = os.getcwd() + \"/networks/unsolved/elec_s_6.nc\"\n",
     "# n_add_el = pypsa.Network(add_electricity_network)\n",
     "# n_cluster = pypsa.Network(clustered_network)\n",
     "solved_network = os.getcwd() + \"/networks/solved/elec_s_6_ec_lcopt_Co2L-4H.nc\"\n",
@@ -184,26 +194,26 @@
    "execution_count": 5,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/homebrew/Caskroom/miniforge/base/envs/pypsa-earth/lib/python3.10/site-packages/cartopy/mpl/feature_artist.py:144: UserWarning: facecolor will have no effect as it has been defined as \"never\".\n",
+      "  warnings.warn('facecolor will have no effect as it has been '\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "(<matplotlib.collections.PatchCollection at 0x7f29d1152040>,\n",
-       " <matplotlib.collections.LineCollection at 0x7f29d10f9c40>,\n",
-       " <matplotlib.collections.LineCollection at 0x7f29d1100550>)"
+       "(<matplotlib.collections.PatchCollection at 0x164a7f7f0>,\n",
+       " <matplotlib.collections.LineCollection at 0x164b5e140>,\n",
+       " <matplotlib.collections.LineCollection at 0x164b5e950>)"
       ]
      },
      "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/site-packages/cartopy/mpl/style.py:76: UserWarning: facecolor will have no effect as it has been defined as \"never\".\n",
-      "  warnings.warn('facecolor will have no effect as it has been '\n"
-     ]
-    },
     {
      "data": {
       "image/png": "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",
@@ -303,7 +313,7 @@
     }
    ],
    "source": [
-    "n.statistics._parent"
+    "n"
    ]
   },
   {
@@ -466,19 +476,19 @@
        "</div>"
       ],
       "text/plain": [
-       "       bus0   bus1  num_parallel      length                         type   \n",
+       "       bus0   bus1  num_parallel      length                         type  \\\n",
        "Line                                                                        \n",
-       "1     NG0 0  NG0 1      1.776316  368.371110  Al/St 240/40 4-bundle 380.0  \\\n",
+       "1     NG0 0  NG0 1      1.776316  368.371110  Al/St 240/40 4-bundle 380.0   \n",
        "2     NG0 0  NG0 2      1.776316  485.412418  Al/St 240/40 4-bundle 380.0   \n",
        "\n",
-       "      s_max_pu        s_nom  capital_cost  s_nom_extendable    s_nom_min  ...   \n",
+       "      s_max_pu        s_nom  capital_cost  s_nom_extendable    s_nom_min  ...  \\\n",
        "Line                                                                      ...   \n",
-       "1          0.7  3016.366481  14032.796130              True  3016.366481  ...  \\\n",
+       "1          0.7  3016.366481  14032.796130              True  3016.366481  ...   \n",
        "2          0.7  3016.366481  18498.026231              True  3016.366481  ...   \n",
        "\n",
-       "      build_year  lifetime  terrain_factor v_ang_min  v_ang_max  sub_network   \n",
+       "      build_year  lifetime  terrain_factor v_ang_min  v_ang_max  sub_network  \\\n",
        "Line                                                                           \n",
-       "1              0       inf             1.0      -inf        inf               \\\n",
+       "1              0       inf             1.0      -inf        inf                \n",
        "2              0       inf             1.0      -inf        inf                \n",
        "\n",
        "      x_pu  r_pu  g_pu  b_pu  \n",
@@ -535,8 +545,8 @@
        "      <th>carrier</th>\n",
        "      <th>p_nom_extendable</th>\n",
        "      <th>...</th>\n",
-       "      <th>start_up_cost</th>\n",
        "      <th>shut_down_cost</th>\n",
+       "      <th>stand_by_cost</th>\n",
        "      <th>min_up_time</th>\n",
        "      <th>min_down_time</th>\n",
        "      <th>up_time_before</th>\n",
@@ -622,28 +632,28 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2 rows × 31 columns</p>\n",
+       "<p>2 rows × 33 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                 p_nom_max      weight  p_nom   capital_cost  efficiency   \n",
+       "                 p_nom_max      weight  p_nom   capital_cost  efficiency  \\\n",
        "Generator                                                                  \n",
-       "BJ15 0 onwind  1878.416229  150.109048    0.0  109295.569252         1.0  \\\n",
+       "BJ15 0 onwind  1878.416229  150.109048    0.0  109295.569252         1.0   \n",
        "BJ15 0 solar   3645.139112  561.501528    0.0   55064.071419         1.0   \n",
        "\n",
-       "               p_nom_min  marginal_cost     bus carrier  p_nom_extendable   \n",
+       "               p_nom_min  marginal_cost     bus carrier  p_nom_extendable  \\\n",
        "Generator                                                                   \n",
-       "BJ15 0 onwind        0.0       0.025948  BJ15 0  onwind              True  \\\n",
+       "BJ15 0 onwind        0.0       0.025948  BJ15 0  onwind              True   \n",
        "BJ15 0 solar         0.0       0.020853  BJ15 0   solar              True   \n",
        "\n",
-       "               ... start_up_cost  shut_down_cost  min_up_time min_down_time   \n",
+       "               ... shut_down_cost  stand_by_cost  min_up_time min_down_time  \\\n",
        "Generator      ...                                                            \n",
-       "BJ15 0 onwind  ...           0.0             0.0            0             0  \\\n",
-       "BJ15 0 solar   ...           0.0             0.0            0             0   \n",
+       "BJ15 0 onwind  ...            0.0            0.0            0             0   \n",
+       "BJ15 0 solar   ...            0.0            0.0            0             0   \n",
        "\n",
-       "               up_time_before  down_time_before  ramp_limit_up   \n",
+       "               up_time_before  down_time_before  ramp_limit_up  \\\n",
        "Generator                                                        \n",
-       "BJ15 0 onwind               1                 0            NaN  \\\n",
+       "BJ15 0 onwind               1                 0            NaN   \n",
        "BJ15 0 solar                1                 0            NaN   \n",
        "\n",
        "               ramp_limit_down  ramp_limit_start_up  ramp_limit_shut_down  \n",
@@ -651,7 +661,7 @@
        "BJ15 0 onwind              NaN                  1.0                   1.0  \n",
        "BJ15 0 solar               NaN                  1.0                   1.0  \n",
        "\n",
-       "[2 rows x 31 columns]"
+       "[2 rows x 33 columns]"
       ]
      },
      "execution_count": 9,
@@ -700,7 +710,7 @@
        "      <th>marginal_cost</th>\n",
        "      <th>p_nom_opt</th>\n",
        "      <th>...</th>\n",
-       "      <th>sign</th>\n",
+       "      <th>marginal_cost_quadratic</th>\n",
        "      <th>capital_cost</th>\n",
        "      <th>build_year</th>\n",
        "      <th>lifetime</th>\n",
@@ -750,7 +760,7 @@
        "      <td>0.009617</td>\n",
        "      <td>1313.057325</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>inf</td>\n",
@@ -774,7 +784,7 @@
        "      <td>0.010629</td>\n",
        "      <td>592.356688</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>inf</td>\n",
@@ -787,41 +797,41 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2 rows × 28 columns</p>\n",
+       "<p>2 rows × 29 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "             efficiency_dispatch    bus  efficiency_store carrier  p_min_pu   \n",
+       "             efficiency_dispatch    bus  efficiency_store carrier  p_min_pu  \\\n",
        "StorageUnit                                                                   \n",
-       "NG0 2 hydro                  0.9  NG0 2               0.0   hydro       0.0  \\\n",
+       "NG0 2 hydro                  0.9  NG0 2               0.0   hydro       0.0   \n",
        "NG0 3 hydro                  0.9  NG0 3               0.0   hydro       0.0   \n",
        "\n",
-       "                   p_nom  max_hours  cyclic_state_of_charge  marginal_cost   \n",
+       "                   p_nom  max_hours  cyclic_state_of_charge  marginal_cost  \\\n",
        "StorageUnit                                                                  \n",
-       "NG0 2 hydro  1313.057325        6.0                    True       0.009617  \\\n",
+       "NG0 2 hydro  1313.057325        6.0                    True       0.009617   \n",
        "NG0 3 hydro   592.356688        6.0                    True       0.010629   \n",
        "\n",
-       "               p_nom_opt  ... sign capital_cost  build_year  lifetime   \n",
-       "StorageUnit               ...                                           \n",
-       "NG0 2 hydro  1313.057325  ...  1.0          0.0           0       inf  \\\n",
-       "NG0 3 hydro   592.356688  ...  1.0          0.0           0       inf   \n",
+       "               p_nom_opt  ... marginal_cost_quadratic capital_cost  \\\n",
+       "StorageUnit               ...                                        \n",
+       "NG0 2 hydro  1313.057325  ...                     0.0          0.0   \n",
+       "NG0 3 hydro   592.356688  ...                     0.0          0.0   \n",
        "\n",
-       "             state_of_charge_initial  state_of_charge_initial_per_period   \n",
-       "StorageUnit                                                                \n",
-       "NG0 2 hydro                      0.0                               False  \\\n",
-       "NG0 3 hydro                      0.0                               False   \n",
+       "             build_year  lifetime  state_of_charge_initial  \\\n",
+       "StorageUnit                                                  \n",
+       "NG0 2 hydro           0       inf                      0.0   \n",
+       "NG0 3 hydro           0       inf                      0.0   \n",
        "\n",
-       "             state_of_charge_set  cyclic_state_of_charge_per_period   \n",
-       "StorageUnit                                                           \n",
-       "NG0 2 hydro                  NaN                               True  \\\n",
-       "NG0 3 hydro                  NaN                               True   \n",
+       "             state_of_charge_initial_per_period  state_of_charge_set  \\\n",
+       "StorageUnit                                                            \n",
+       "NG0 2 hydro                               False                  NaN   \n",
+       "NG0 3 hydro                               False                  NaN   \n",
        "\n",
-       "             standing_loss  inflow  \n",
-       "StorageUnit                         \n",
-       "NG0 2 hydro            0.0     0.0  \n",
-       "NG0 3 hydro            0.0     0.0  \n",
+       "             cyclic_state_of_charge_per_period  standing_loss  inflow  \n",
+       "StorageUnit                                                            \n",
+       "NG0 2 hydro                               True            0.0     0.0  \n",
+       "NG0 3 hydro                               True            0.0     0.0  \n",
        "\n",
-       "[2 rows x 28 columns]"
+       "[2 rows x 29 columns]"
       ]
      },
      "execution_count": 10,
@@ -870,13 +880,13 @@
        "      <th>e_nom</th>\n",
        "      <th>e_nom_min</th>\n",
        "      <th>...</th>\n",
-       "      <th>e_max_pu</th>\n",
        "      <th>e_initial</th>\n",
        "      <th>e_initial_per_period</th>\n",
        "      <th>e_cyclic_per_period</th>\n",
        "      <th>p_set</th>\n",
        "      <th>q_set</th>\n",
        "      <th>sign</th>\n",
+       "      <th>marginal_cost_quadratic</th>\n",
        "      <th>standing_loss</th>\n",
        "      <th>build_year</th>\n",
        "      <th>lifetime</th>\n",
@@ -920,7 +930,6 @@
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
@@ -928,6 +937,7 @@
        "      <td>0.0</td>\n",
        "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>inf</td>\n",
        "    </tr>\n",
@@ -944,7 +954,6 @@
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>...</td>\n",
-       "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
@@ -952,36 +961,37 @@
        "      <td>0.0</td>\n",
        "      <td>1.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0</td>\n",
        "      <td>inf</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2 rows × 22 columns</p>\n",
+       "<p>2 rows × 23 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                 bus carrier  e_nom_extendable  e_cyclic  capital_cost   \n",
+       "                 bus carrier  e_nom_extendable  e_cyclic  capital_cost  \\\n",
        "Store                                                                    \n",
-       "BJ15 0 H2  BJ15 0 H2      H2              True      True    796.283619  \\\n",
+       "BJ15 0 H2  BJ15 0 H2      H2              True      True    796.283619   \n",
        "BJ16 0 H2  BJ16 0 H2      H2              True      True    796.283619   \n",
        "\n",
-       "           marginal_cost  e_nom_opt type  e_nom  e_nom_min  ...  e_max_pu   \n",
-       "Store                                                       ...             \n",
-       "BJ15 0 H2       0.010453    10710.7         0.0        0.0  ...       1.0  \\\n",
-       "BJ16 0 H2       0.009223    15514.6         0.0        0.0  ...       1.0   \n",
+       "           marginal_cost  e_nom_opt type  e_nom  e_nom_min  ...  e_initial  \\\n",
+       "Store                                                       ...              \n",
+       "BJ15 0 H2       0.010453    10710.7         0.0        0.0  ...        0.0   \n",
+       "BJ16 0 H2       0.009223    15514.6         0.0        0.0  ...        0.0   \n",
        "\n",
-       "           e_initial  e_initial_per_period  e_cyclic_per_period  p_set  q_set   \n",
-       "Store                                                                           \n",
-       "BJ15 0 H2        0.0                 False                 True    0.0    0.0  \\\n",
-       "BJ16 0 H2        0.0                 False                 True    0.0    0.0   \n",
+       "           e_initial_per_period  e_cyclic_per_period  p_set  q_set  sign  \\\n",
+       "Store                                                                      \n",
+       "BJ15 0 H2                 False                 True    0.0    0.0   1.0   \n",
+       "BJ16 0 H2                 False                 True    0.0    0.0   1.0   \n",
        "\n",
-       "           sign  standing_loss  build_year  lifetime  \n",
-       "Store                                                 \n",
-       "BJ15 0 H2   1.0            0.0           0       inf  \n",
-       "BJ16 0 H2   1.0            0.0           0       inf  \n",
+       "           marginal_cost_quadratic  standing_loss  build_year  lifetime  \n",
+       "Store                                                                    \n",
+       "BJ15 0 H2                      0.0            0.0           0       inf  \n",
+       "BJ16 0 H2                      0.0            0.0           0       inf  \n",
        "\n",
-       "[2 rows x 22 columns]"
+       "[2 rows x 23 columns]"
       ]
      },
      "execution_count": 11,
@@ -1227,24 +1237,24 @@
        "</div>"
       ],
       "text/plain": [
-       "Load                    BJ15 0     BJ16 0     BJ17 0        NG0 0   \n",
+       "Load                    BJ15 0     BJ16 0     BJ17 0        NG0 0  \\\n",
        "snapshot                                                            \n",
-       "2013-03-01 00:00:00  19.543581  11.777434  55.830980   859.916526  \\\n",
+       "2013-03-01 00:00:00  19.543581  11.777434  55.830980   859.916526   \n",
        "2013-03-01 04:00:00  24.976447  15.051410  71.351277  1090.588692   \n",
        "\n",
-       "Load                       NG0 1       NG0 2        NG0 3       NG0 4   \n",
+       "Load                       NG0 1       NG0 2        NG0 3       NG0 4  \\\n",
        "snapshot                                                                \n",
-       "2013-03-01 00:00:00   927.075173  174.818281  1004.017047  259.221458  \\\n",
+       "2013-03-01 00:00:00   927.075173  174.818281  1004.017047  259.221458   \n",
        "2013-03-01 04:00:00  1174.610623  221.495965  1272.096507  328.435371   \n",
        "\n",
-       "Load                      NG1 0      NG10 0  ...    NG13 0    NG14 0   \n",
+       "Load                      NG1 0      NG10 0  ...    NG13 0    NG14 0  \\\n",
        "snapshot                                     ...                       \n",
-       "2013-03-01 00:00:00  175.685032  182.970986  ...  2.718584  2.857206  \\\n",
+       "2013-03-01 00:00:00  175.685032  182.970986  ...  2.718584  2.857206   \n",
        "2013-03-01 04:00:00  222.594145  231.825498  ...  3.444465  3.620100   \n",
        "\n",
-       "Load                     NG2 0      NG3 0      NG4 0      NG5 0      NG6 0   \n",
+       "Load                     NG2 0      NG3 0      NG4 0      NG5 0      NG6 0  \\\n",
        "snapshot                                                                     \n",
-       "2013-03-01 00:00:00  38.698606  10.139052  15.513838  67.693643  40.282389  \\\n",
+       "2013-03-01 00:00:00  38.698606  10.139052  15.513838  67.693643  40.282389   \n",
        "2013-03-01 04:00:00  49.031400  12.846249  19.656140  85.768311  51.038064   \n",
        "\n",
        "Load                     NG7 0      NG8 0      NG9 0  \n",
@@ -1438,29 +1448,29 @@
        "</div>"
       ],
       "text/plain": [
-       "Generator            BJ15 0 onwind  BJ15 0 solar  BJ16 0 onwind  BJ16 0 solar   \n",
+       "Generator            BJ15 0 onwind  BJ15 0 solar  BJ16 0 onwind  BJ16 0 solar  \\\n",
        "snapshot                                                                        \n",
-       "2013-03-01 00:00:00       0.105997           0.0       0.056279           0.0  \\\n",
+       "2013-03-01 00:00:00       0.105997           0.0       0.056279           0.0   \n",
        "2013-03-01 04:00:00       0.045932           0.0       0.026703           0.0   \n",
        "\n",
-       "Generator            BJ17 0 onwind  BJ17 0 solar  NG0 0 onwind  NG0 0 solar   \n",
+       "Generator            BJ17 0 onwind  BJ17 0 solar  NG0 0 onwind  NG0 0 solar  \\\n",
        "snapshot                                                                      \n",
-       "2013-03-01 00:00:00       0.198844           0.0      0.108729          0.0  \\\n",
+       "2013-03-01 00:00:00       0.198844           0.0      0.108729          0.0   \n",
        "2013-03-01 04:00:00       0.179226           0.0      0.080964          0.0   \n",
        "\n",
-       "Generator            NG0 1 onwind  NG0 1 solar  ...  NG5 0 onwind   \n",
+       "Generator            NG0 1 onwind  NG0 1 solar  ...  NG5 0 onwind  \\\n",
        "snapshot                                        ...                 \n",
-       "2013-03-01 00:00:00      0.173403     0.000000  ...      0.099833  \\\n",
+       "2013-03-01 00:00:00      0.173403     0.000000  ...      0.099833   \n",
        "2013-03-01 04:00:00      0.102582     0.017177  ...      0.031519   \n",
        "\n",
-       "Generator            NG5 0 solar  NG6 0 onwind  NG6 0 solar  NG7 0 onwind   \n",
+       "Generator            NG5 0 solar  NG6 0 onwind  NG6 0 solar  NG7 0 onwind  \\\n",
        "snapshot                                                                    \n",
-       "2013-03-01 00:00:00     0.000000      0.095943     0.000000      0.042173  \\\n",
+       "2013-03-01 00:00:00     0.000000      0.095943     0.000000      0.042173   \n",
        "2013-03-01 04:00:00     0.014462      0.030910     0.013896      0.000000   \n",
        "\n",
-       "Generator            NG7 0 solar  NG8 0 onwind  NG8 0 solar  NG9 0 onwind   \n",
+       "Generator            NG7 0 solar  NG8 0 onwind  NG8 0 solar  NG9 0 onwind  \\\n",
        "snapshot                                                                    \n",
-       "2013-03-01 00:00:00     0.000000      0.036932          0.0      0.041167  \\\n",
+       "2013-03-01 00:00:00     0.000000      0.036932          0.0      0.041167   \n",
        "2013-03-01 04:00:00     0.013453      0.021130          0.0      0.000000   \n",
        "\n",
        "Generator            NG9 0 solar  \n",
@@ -1728,7 +1738,7 @@
     }
    ],
    "source": [
-    "(n.storage_units_t.state_of_charge.sum(axis=1).resample('D').mean() / 1e6).plot(figsize=(15,3)) #TWh"
+    "(n.storage_units_t.state_of_charge.sum(axis=1).resample(\"D\").mean() / 1e6).plot(figsize=(15,3)) #TWh"
    ]
   },
   {
@@ -1815,7 +1825,9 @@
        "      <th>Capacity Factor</th>\n",
        "      <th>Capital Expenditure</th>\n",
        "      <th>Curtailment</th>\n",
+       "      <th>Dispatch</th>\n",
        "      <th>Installed Capacity</th>\n",
+       "      <th>Market Value</th>\n",
        "      <th>Operational Expenditure</th>\n",
        "      <th>Optimal Capacity</th>\n",
        "      <th>Revenue</th>\n",
@@ -1834,6 +1846,8 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -1842,73 +1856,85 @@
        "      <th>Combined-Cycle Gas</th>\n",
        "      <td>7.911247e-01</td>\n",
        "      <td>4.143210e+07</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>3.399289e+06</td>\n",
        "      <td>4.905000e+02</td>\n",
-       "      <td>1.831975e+04</td>\n",
+       "      <td>5.663490e+01</td>\n",
+       "      <td>1.604810e+08</td>\n",
        "      <td>4.905000e+02</td>\n",
-       "      <td>2.197699e+04</td>\n",
-       "      <td>388.046681</td>\n",
+       "      <td>1.925184e+08</td>\n",
+       "      <td>3.399289e+06</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Oil</th>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>4.551522e+07</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
        "      <td>1.190421e+03</td>\n",
+       "      <td>NaN</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>1.190421e+03</td>\n",
        "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Onshore Wind</th>\n",
        "      <td>6.523576e-02</td>\n",
        "      <td>3.426715e+08</td>\n",
-       "      <td>36.684174</td>\n",
+       "      <td>3.213534e+05</td>\n",
+       "      <td>1.791700e+06</td>\n",
        "      <td>1.233794e+00</td>\n",
-       "      <td>5.228557e+00</td>\n",
+       "      <td>1.919999e+02</td>\n",
+       "      <td>4.580216e+04</td>\n",
        "      <td>3.135273e+03</td>\n",
-       "      <td>3.927012e+04</td>\n",
-       "      <td>204.531920</td>\n",
+       "      <td>3.440062e+08</td>\n",
+       "      <td>1.791700e+06</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Open-Cycle Gas</th>\n",
        "      <td>2.284819e-01</td>\n",
        "      <td>2.922695e+08</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>1.238453e+07</td>\n",
        "      <td>6.187629e+03</td>\n",
-       "      <td>8.255594e+04</td>\n",
+       "      <td>5.839458e+01</td>\n",
+       "      <td>7.231901e+08</td>\n",
        "      <td>6.187620e+03</td>\n",
-       "      <td>8.255589e+04</td>\n",
-       "      <td>1413.759435</td>\n",
+       "      <td>7.231896e+08</td>\n",
+       "      <td>1.238453e+07</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Solar</th>\n",
        "      <td>1.519814e-01</td>\n",
        "      <td>7.953240e+08</td>\n",
-       "      <td>167.313205</td>\n",
+       "      <td>1.465664e+06</td>\n",
+       "      <td>1.922960e+07</td>\n",
        "      <td>2.830608e+01</td>\n",
-       "      <td>4.281851e+01</td>\n",
+       "      <td>4.137775e+01</td>\n",
+       "      <td>3.750902e+05</td>\n",
        "      <td>1.444361e+04</td>\n",
-       "      <td>9.083079e+04</td>\n",
-       "      <td>2195.160259</td>\n",
+       "      <td>7.956778e+08</td>\n",
+       "      <td>1.922960e+07</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>load</th>\n",
        "      <td>1.581886e-07</td>\n",
        "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>3.048611e+04</td>\n",
        "      <td>2.200000e+10</td>\n",
-       "      <td>3.515965e+03</td>\n",
+       "      <td>1.010291e+06</td>\n",
+       "      <td>3.079986e+07</td>\n",
        "      <td>2.200000e+10</td>\n",
-       "      <td>3.515965e+06</td>\n",
-       "      <td>3.480149</td>\n",
-       "      <td>-3.157972e-14</td>\n",
+       "      <td>3.079985e+10</td>\n",
+       "      <td>3.048611e+04</td>\n",
+       "      <td>-2.766384e-10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Line</th>\n",
@@ -1916,12 +1942,14 @@
        "      <td>2.010534e-01</td>\n",
        "      <td>2.548044e+08</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>1.136418e+07</td>\n",
        "      <td>1.405403e+04</td>\n",
+       "      <td>5.093518e-01</td>\n",
        "      <td>NaN</td>\n",
        "      <td>1.405404e+04</td>\n",
-       "      <td>6.607721e+02</td>\n",
-       "      <td>2825.611825</td>\n",
-       "      <td>-2.825612e+03</td>\n",
+       "      <td>5.788364e+06</td>\n",
+       "      <td>2.475236e+07</td>\n",
+       "      <td>-2.475236e+07</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"4\" valign=\"top\">Link</th>\n",
@@ -1929,24 +1957,28 @@
        "      <td>2.896137e-01</td>\n",
        "      <td>7.868938e+07</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>-4.091375e+06</td>\n",
        "      <td>0.000000e+00</td>\n",
+       "      <td>-1.923299e+01</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>1.612672e+03</td>\n",
-       "      <td>8.982806e+03</td>\n",
-       "      <td>373.641514</td>\n",
-       "      <td>-4.670519e+02</td>\n",
+       "      <td>7.868938e+07</td>\n",
+       "      <td>3.273100e+06</td>\n",
+       "      <td>-4.091375e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>H2 fuel cell</th>\n",
        "      <td>3.407568e-01</td>\n",
        "      <td>2.681847e+07</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>-3.273100e+06</td>\n",
        "      <td>0.000000e+00</td>\n",
+       "      <td>-8.193196e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>1.096505e+03</td>\n",
-       "      <td>3.061318e+03</td>\n",
-       "      <td>216.712097</td>\n",
-       "      <td>-3.736415e+02</td>\n",
+       "      <td>2.681715e+07</td>\n",
+       "      <td>1.898398e+06</td>\n",
+       "      <td>-3.273100e+06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>battery charger</th>\n",
@@ -1955,9 +1987,11 @@
        "      <td>NaN</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1967,9 +2001,11 @@
        "      <td>NaN</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1978,24 +2014,28 @@
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>-5.133406e+07</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>-6.886213e+01</td>\n",
        "      <td>NaN</td>\n",
        "      <td>NaN</td>\n",
-       "      <td>4.035357e+05</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-5.860053e+03</td>\n",
+       "      <td>3.534973e+09</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>-5.133406e+07</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>StorageUnit</th>\n",
        "      <th>Reservoir &amp; Dam</th>\n",
        "      <td>1.000002e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>1.669145e+07</td>\n",
        "      <td>1.905414e+03</td>\n",
-       "      <td>1.892404e+01</td>\n",
+       "      <td>5.002371e+01</td>\n",
+       "      <td>1.657746e+05</td>\n",
        "      <td>1.905414e+03</td>\n",
-       "      <td>9.531603e+04</td>\n",
-       "      <td>1905.417000</td>\n",
+       "      <td>8.349684e+08</td>\n",
+       "      <td>1.669145e+07</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -2006,9 +2046,11 @@
        "      <td>NaN</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
        "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
        "      <td>0.000000e+00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -2016,21 +2058,23 @@
        "      <td>5.296468e-01</td>\n",
        "      <td>5.025179e+08</td>\n",
        "      <td>NaN</td>\n",
+       "      <td>-8.837867e-01</td>\n",
        "      <td>0.000000e+00</td>\n",
-       "      <td>-8.865899e-07</td>\n",
+       "      <td>-5.685974e+08</td>\n",
+       "      <td>-7.766528e-03</td>\n",
        "      <td>6.310790e+05</td>\n",
-       "      <td>5.736516e+04</td>\n",
-       "      <td>373.641547</td>\n",
-       "      <td>-3.736416e+02</td>\n",
+       "      <td>5.025188e+08</td>\n",
+       "      <td>3.273100e+06</td>\n",
+       "      <td>-3.273101e+06</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                Capacity Factor  Capital Expenditure   \n",
+       "                                Capacity Factor  Capital Expenditure  \\\n",
        "            carrier                                                    \n",
-       "Generator   Combined-Cycle Gas     7.911247e-01         4.143210e+07  \\\n",
+       "Generator   Combined-Cycle Gas     7.911247e-01         4.143210e+07   \n",
        "            Oil                    0.000000e+00         4.551522e+07   \n",
        "            Onshore Wind           6.523576e-02         3.426715e+08   \n",
        "            Open-Cycle Gas         2.284819e-01         2.922695e+08   \n",
@@ -2046,59 +2090,77 @@
        "Store       Battery Storage                 NaN         0.000000e+00   \n",
        "            Hydrogen Storage       5.296468e-01         5.025179e+08   \n",
        "\n",
-       "                                Curtailment  Installed Capacity   \n",
-       "            carrier                                               \n",
-       "Generator   Combined-Cycle Gas     0.000000        4.905000e+02  \\\n",
-       "            Oil                    0.000000        1.190421e+03   \n",
-       "            Onshore Wind          36.684174        1.233794e+00   \n",
-       "            Open-Cycle Gas         0.000000        6.187629e+03   \n",
-       "            Solar                167.313205        2.830608e+01   \n",
-       "            load                   0.000000        2.200000e+10   \n",
-       "Line        AC                          NaN        1.405403e+04   \n",
-       "Link        H2 electrolysis             NaN        0.000000e+00   \n",
-       "            H2 fuel cell                NaN        0.000000e+00   \n",
-       "            battery charger             NaN        0.000000e+00   \n",
-       "            battery discharger          NaN        0.000000e+00   \n",
-       "Load        -                           NaN                 NaN   \n",
-       "StorageUnit Reservoir & Dam        0.000000        1.905414e+03   \n",
-       "Store       Battery Storage             NaN        0.000000e+00   \n",
-       "            Hydrogen Storage            NaN        0.000000e+00   \n",
+       "                                 Curtailment      Dispatch  \\\n",
+       "            carrier                                          \n",
+       "Generator   Combined-Cycle Gas  0.000000e+00  3.399289e+06   \n",
+       "            Oil                 0.000000e+00  0.000000e+00   \n",
+       "            Onshore Wind        3.213534e+05  1.791700e+06   \n",
+       "            Open-Cycle Gas      0.000000e+00  1.238453e+07   \n",
+       "            Solar               1.465664e+06  1.922960e+07   \n",
+       "            load                0.000000e+00  3.048611e+04   \n",
+       "Line        AC                           NaN  1.136418e+07   \n",
+       "Link        H2 electrolysis              NaN -4.091375e+06   \n",
+       "            H2 fuel cell                 NaN -3.273100e+06   \n",
+       "            battery charger              NaN  0.000000e+00   \n",
+       "            battery discharger           NaN  0.000000e+00   \n",
+       "Load        -                            NaN -5.133406e+07   \n",
+       "StorageUnit Reservoir & Dam     0.000000e+00  1.669145e+07   \n",
+       "Store       Battery Storage              NaN  0.000000e+00   \n",
+       "            Hydrogen Storage             NaN -8.837867e-01   \n",
        "\n",
-       "                                Operational Expenditure  Optimal Capacity   \n",
+       "                                Installed Capacity  Market Value  \\\n",
+       "            carrier                                                \n",
+       "Generator   Combined-Cycle Gas        4.905000e+02  5.663490e+01   \n",
+       "            Oil                       1.190421e+03           NaN   \n",
+       "            Onshore Wind              1.233794e+00  1.919999e+02   \n",
+       "            Open-Cycle Gas            6.187629e+03  5.839458e+01   \n",
+       "            Solar                     2.830608e+01  4.137775e+01   \n",
+       "            load                      2.200000e+10  1.010291e+06   \n",
+       "Line        AC                        1.405403e+04  5.093518e-01   \n",
+       "Link        H2 electrolysis           0.000000e+00 -1.923299e+01   \n",
+       "            H2 fuel cell              0.000000e+00 -8.193196e+00   \n",
+       "            battery charger           0.000000e+00           NaN   \n",
+       "            battery discharger        0.000000e+00           NaN   \n",
+       "Load        -                                  NaN -6.886213e+01   \n",
+       "StorageUnit Reservoir & Dam           1.905414e+03  5.002371e+01   \n",
+       "Store       Battery Storage           0.000000e+00           NaN   \n",
+       "            Hydrogen Storage          0.000000e+00 -5.685974e+08   \n",
+       "\n",
+       "                                Operational Expenditure  Optimal Capacity  \\\n",
        "            carrier                                                         \n",
-       "Generator   Combined-Cycle Gas             1.831975e+04      4.905000e+02  \\\n",
+       "Generator   Combined-Cycle Gas             1.604810e+08      4.905000e+02   \n",
        "            Oil                            0.000000e+00      1.190421e+03   \n",
-       "            Onshore Wind                   5.228557e+00      3.135273e+03   \n",
-       "            Open-Cycle Gas                 8.255594e+04      6.187620e+03   \n",
-       "            Solar                          4.281851e+01      1.444361e+04   \n",
-       "            load                           3.515965e+03      2.200000e+10   \n",
+       "            Onshore Wind                   4.580216e+04      3.135273e+03   \n",
+       "            Open-Cycle Gas                 7.231901e+08      6.187620e+03   \n",
+       "            Solar                          3.750902e+05      1.444361e+04   \n",
+       "            load                           3.079986e+07      2.200000e+10   \n",
        "Line        AC                                      NaN      1.405404e+04   \n",
        "Link        H2 electrolysis                0.000000e+00      1.612672e+03   \n",
        "            H2 fuel cell                   0.000000e+00      1.096505e+03   \n",
        "            battery charger                0.000000e+00      0.000000e+00   \n",
        "            battery discharger             0.000000e+00      0.000000e+00   \n",
        "Load        -                                       NaN               NaN   \n",
-       "StorageUnit Reservoir & Dam                1.892404e+01      1.905414e+03   \n",
+       "StorageUnit Reservoir & Dam                1.657746e+05      1.905414e+03   \n",
        "Store       Battery Storage                0.000000e+00      0.000000e+00   \n",
-       "            Hydrogen Storage              -8.865899e-07      6.310790e+05   \n",
+       "            Hydrogen Storage              -7.766528e-03      6.310790e+05   \n",
        "\n",
-       "                                     Revenue       Supply    Withdrawal  \n",
-       "            carrier                                                      \n",
-       "Generator   Combined-Cycle Gas  2.197699e+04   388.046681  0.000000e+00  \n",
-       "            Oil                 0.000000e+00     0.000000  0.000000e+00  \n",
-       "            Onshore Wind        3.927012e+04   204.531920  0.000000e+00  \n",
-       "            Open-Cycle Gas      8.255589e+04  1413.759435  0.000000e+00  \n",
-       "            Solar               9.083079e+04  2195.160259  0.000000e+00  \n",
-       "            load                3.515965e+06     3.480149 -3.157972e-14  \n",
-       "Line        AC                  6.607721e+02  2825.611825 -2.825612e+03  \n",
-       "Link        H2 electrolysis     8.982806e+03   373.641514 -4.670519e+02  \n",
-       "            H2 fuel cell        3.061318e+03   216.712097 -3.736415e+02  \n",
-       "            battery charger     0.000000e+00     0.000000  0.000000e+00  \n",
-       "            battery discharger  0.000000e+00     0.000000  0.000000e+00  \n",
-       "Load        -                   4.035357e+05     0.000000 -5.860053e+03  \n",
-       "StorageUnit Reservoir & Dam     9.531603e+04  1905.417000  0.000000e+00  \n",
-       "Store       Battery Storage     0.000000e+00     0.000000  0.000000e+00  \n",
-       "            Hydrogen Storage    5.736516e+04   373.641547 -3.736416e+02  "
+       "                                     Revenue        Supply    Withdrawal  \n",
+       "            carrier                                                       \n",
+       "Generator   Combined-Cycle Gas  1.925184e+08  3.399289e+06  0.000000e+00  \n",
+       "            Oil                 0.000000e+00  0.000000e+00  0.000000e+00  \n",
+       "            Onshore Wind        3.440062e+08  1.791700e+06  0.000000e+00  \n",
+       "            Open-Cycle Gas      7.231896e+08  1.238453e+07  0.000000e+00  \n",
+       "            Solar               7.956778e+08  1.922960e+07  0.000000e+00  \n",
+       "            load                3.079985e+10  3.048611e+04 -2.766384e-10  \n",
+       "Line        AC                  5.788364e+06  2.475236e+07 -2.475236e+07  \n",
+       "Link        H2 electrolysis     7.868938e+07  3.273100e+06 -4.091375e+06  \n",
+       "            H2 fuel cell        2.681715e+07  1.898398e+06 -3.273100e+06  \n",
+       "            battery charger     0.000000e+00  0.000000e+00  0.000000e+00  \n",
+       "            battery discharger  0.000000e+00  0.000000e+00  0.000000e+00  \n",
+       "Load        -                   3.534973e+09  0.000000e+00 -5.133406e+07  \n",
+       "StorageUnit Reservoir & Dam     8.349684e+08  1.669145e+07  0.000000e+00  \n",
+       "Store       Battery Storage     0.000000e+00  0.000000e+00  0.000000e+00  \n",
+       "            Hydrogen Storage    5.025188e+08  3.273100e+06 -3.273101e+06  "
       ]
      },
      "execution_count": 24,
@@ -2171,6 +2233,14 @@
    "execution_count": 26,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/homebrew/Caskroom/miniforge/base/envs/pypsa-earth/lib/python3.10/site-packages/cartopy/mpl/feature_artist.py:144: UserWarning: facecolor will have no effect as it has been defined as \"never\".\n",
+      "  warnings.warn('facecolor will have no effect as it has been '\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
@@ -2181,14 +2251,6 @@
      "metadata": {},
      "output_type": "execute_result"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/davidef/miniconda3/envs/pypsa-earth/lib/python3.8/site-packages/cartopy/mpl/style.py:76: UserWarning: facecolor will have no effect as it has been defined as \"never\".\n",
-      "  warnings.warn('facecolor will have no effect as it has been '\n"
-     ]
-    },
     {
      "data": {
       "image/png": "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",
@@ -2205,7 +2267,7 @@
     "# Example types of projections: PlateCarree, Mercator, Orthographic\n",
     "fig, ax = plt.subplots(1, 1, subplot_kw={\"projection\": ccrs.PlateCarree()})\n",
     "n.plot(ax=ax,\n",
-    "    bus_colors='gray',\n",
+    "    bus_colors=\"gray\",\n",
     "    branch_components=[\"Line\"],\n",
     "    line_widths=n.lines.s_nom_opt/1e3,\n",
     "    line_colors=loading,\n",
@@ -2231,7 +2293,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2243,49 +2305,59 @@
    "source": [
     "first_date = \"2013-03-01\"\n",
     "second_date = \"2013-03-07\"\n",
-    "CCGT = n.generators_t.p.loc[first_date:second_date].groupby(n.generators.carrier, axis=1).sum()[\"CCGT\"]\n",
-    "OCGT = n.generators_t.p.loc[first_date:second_date].groupby(n.generators.carrier, axis=1).sum()[\"OCGT\"]\n",
-    "Onwind = n.generators_t.p.loc[first_date:second_date].groupby(n.generators.carrier, axis=1).sum()[\"onwind\"]\n",
-    "solar = n.generators_t.p.loc[first_date:second_date].groupby(n.generators.carrier, axis=1).sum()[\"solar\"]\n",
-    "H2 = n.stores_t.p.loc[first_date:second_date].groupby(n.stores.carrier, axis=1).sum()[\"H2\"]\n",
-    "battery = n.stores_t.p.loc[first_date:second_date].groupby(n.stores.carrier, axis=1).sum()[\"battery\"]\n",
+    "CCGT = n.generators_t.p.loc[first_date:second_date].T.groupby(n.generators.carrier).sum().loc[\"CCGT\"]\n",
+    "OCGT = n.generators_t.p.loc[first_date:second_date].T.groupby(n.generators.carrier).sum().loc[\"OCGT\"]\n",
+    "Onwind = n.generators_t.p.loc[first_date:second_date].T.groupby(n.generators.carrier).sum().loc[\"onwind\"]\n",
+    "solar = n.generators_t.p.loc[first_date:second_date].T.groupby(n.generators.carrier).sum().loc[\"solar\"]\n",
+    "H2 = n.stores_t.p.loc[first_date:second_date].T.groupby(n.stores.carrier).sum().loc[\"H2\"]\n",
+    "battery = n.stores_t.p.loc[first_date:second_date].T.groupby(n.stores.carrier).sum().loc[\"battery\"]\n",
+    "hydro = n.storage_units_t.p.loc[first_date:second_date].T.groupby(n.storage_units.carrier).sum().loc[\"hydro\"]\n",
+    "H2_charge = n.links_t.p0.loc[first_date:second_date].T.groupby(n.links.carrier).sum().loc[\"H2 electrolysis\"]*-1\n",
+    "H2_discharge = n.links_t.p1.loc[first_date:second_date].T.groupby(n.links.carrier).sum().loc[\"H2 fuel cell\"]*-1\n",
+    "battery_charge = n.links_t.p0.loc[first_date:second_date].T.groupby(n.links.carrier).sum().loc[\"battery charger\"]*-1\n",
+    "battery_discharge = n.links_t.p1.loc[first_date:second_date].T.groupby(n.links.carrier).sum().loc[\"battery discharger\"]*-1\n",
     "demand = n.loads_t.p_set.loc[first_date:second_date].sum(axis=1)*-1\n",
     "\n",
+    "# names for labels\n",
+    "demand.name = \"demand\"\n",
+    "H2_charge.name = \"H2\"\n",
+    "H2_discharge.name = \"H2\"\n",
+    "battery_charge.name = \"battery\"\n",
+    "battery_discharge.name = \"battery\"\n",
+    "\n",
     "fig, ax=plt.subplots()\n",
-    "i=0\n",
-    "nbattery = []\n",
-    "pbattery =[]\n",
-    "for i in battery:\n",
-    "    if i < 0:\n",
-    "        nbattery.append(i)\n",
-    "    else:\n",
-    "        nbattery.append(0) \n",
-    "for i in battery:\n",
-    "    if i > 0:\n",
-    "        pbattery.append(i)\n",
-    "    else:\n",
-    "        pbattery.append(0) \n",
-    "A = plt.stackplot(CCGT.index,CCGT,OCGT,Onwind, pbattery,solar, H2, colors=['#b20101','#d35050','#235ebc','#ea048a','#f9d002','#b8ea04'], zorder = 3)\n",
-    "plt.stackplot(CCGT.index,demand,nbattery, colors=['#FF0000','#ea048a'], zorder = 3)\n",
+    " \n",
+    "plt.stackplot(\n",
+    "    CCGT.index,\n",
+    "    supply:=(hydro.where(hydro > 0, 0), CCGT, OCGT, Onwind, battery_discharge, solar, H2_discharge), \n",
+    "    labels=[key.name for key in supply],\n",
+    "    colors=[n.carriers.color.get(source.name, default=\"gray\") for source in supply], \n",
+    "    zorder = 99\n",
+    ")\n",
+    "plt.stackplot(\n",
+    "    CCGT.index,\n",
+    "    withdrawal:=(demand, battery_charge, H2_charge, hydro.where(hydro < 0, 0)),\n",
+    "    labels=[source.name for source in withdrawal],\n",
+    "    colors=[n.carriers.color.get(key.name, default=\"red\") for key in withdrawal], \n",
+    "    zorder = 1\n",
+    ")\n",
+    "plt.plot(sum(withdrawal).abs(), color = \"black\", label=\"abs(withdrawal)\", linestyle=\"dashed\", zorder=100)\n",
+    "\n",
+    "\n",
     "plt.xticks(rotation = 45)\n",
     "plt.yticks()\n",
     "scale_y = 1e3\n",
-    "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale_y))\n",
+    "ticks_y = ticker.FuncFormatter(lambda x, pos: \"{0:g}\".format(x/scale_y))\n",
     "ax.yaxis.set_major_formatter(ticks_y)\n",
-    "myFmt = mdates.DateFormatter('%d')\n",
+    "myFmt = mdates.DateFormatter(\"%d\")\n",
     "ax.xaxis.set_major_formatter(myFmt)\n",
-    "ax.set_ylabel('GW')\n",
-    "ax.set_xlabel('Mar')\n",
+    "ax.set_ylabel(\"GW\")\n",
+    "ax.set_xlabel(\"Mar\")\n",
+    "\n",
+    "handles, labels = ax.get_legend_handles_labels()\n",
+    "unique_labels = dict(zip(labels, handles))  # remove duplicates\n",
     "\n",
-    "CCGT_patch = mpatches.Patch(color='#b20101', label ='CCGT')\n",
-    "OCGT_patch = mpatches.Patch(color='#d35050', label ='OCGT')\n",
-    "wind_patch = mpatches.Patch(color='#235ebc', label ='Onshore wind')\n",
-    "solar_patch = mpatches.Patch(color='#f9d002', label ='Solar')\n",
-    "H2_patch = mpatches.Patch(color='#b8ea04', label ='Hydrogen')\n",
-    "battery_patch = mpatches.Patch(color='#ea048a', label ='Battery')\n",
-    "load_patch = mpatches.Patch(color='#FF0000', label ='Demand')\n",
-    "handles=[CCGT_patch,OCGT_patch,wind_patch,solar_patch,battery_patch,H2_patch,load_patch]\n",
-    "ax.legend(handles=handles, loc=\"center right\", bbox_to_anchor=(1.4, 0.5))\n",
+    "plt.legend(unique_labels.values(), unique_labels.keys(), loc=\"center right\", bbox_to_anchor=(1.4, 0.5))\n",
     "plt.show()\n",
     "#fig.savefig(\"path\")"
    ]