[openTEPES] Changing the format of the load levels

RTS_Data/FormattedData/openTEPES/Create_openTEPES_InputData/SourceDataToData.py

@@ -79,10 +79,11 @@ def GettingDataTo_oTData(_path_data, _path_file, CaseName):
  pNomDemand_org = pNomDemand_org.set_index(['Bus ID'])
 
  # Defining load levels
+ df_load.Period = df_load.Period - 1
  df_load['Month' ] = df_load.Month.map("{:02}".format)
  df_load['Day' ] = df_load.Day.map("{:02}".format)
  df_load['Period' ] = df_load.Period.map("{:02}".format)
- LoadLevels = [str(df_load['Month'][i])+str(df_load['Day'][i])+str(df_load['Period'][i]) for i in df_load.index]
+ LoadLevels = [str(df_load['Month'][i])+'-'+str(df_load['Day'][i])+' '+str(df_load['Period'][i]+":00:00+01:00") for i in df_load.index]
  df_load['LoadLevel'] = pd.DataFrame({'LoadLevel': LoadLevels})
 
  # Getting load factors per area

RTS_Data/FormattedData/openTEPES/Create_openTEPES_InputData/SourceDataToDictionaries.py

@@ -67,10 +67,11 @@ def GettingDataTo_oTDict(_path_data, _path_file, CaseName):
  pLineType.to_frame(name='LineType').to_csv(_path_file + '/RTS-GMLC/oT_Dict_Line_' + CaseName + '.csv', sep=',', index=False)
 
  # Defining load levels
+ df_TS_CSP.Period = df_TS_CSP.Period-1
  df_TS_CSP['Month' ] = df_TS_CSP.Month.map("{:02}".format)
  df_TS_CSP['Day' ] = df_TS_CSP.Day.map("{:02}".format)
  df_TS_CSP['Period'] = df_TS_CSP.Period.map("{:02}".format)
- LoadLevels = [str(df_TS_CSP['Month'][i])+str(df_TS_CSP['Day'][i])+str(df_TS_CSP['Period'][i]) for i in df_TS_CSP.index]
+ LoadLevels = [str(df_TS_CSP['Month'][i])+'-'+str(df_TS_CSP['Day'][i])+' '+str(df_TS_CSP['Period'][i]+":00:00+01:00") for i in df_TS_CSP.index]
  pLoadLevels = pd.DataFrame({'LoadLevel': LoadLevels})
  pLoadLevels.to_csv(_path_file + '/RTS-GMLC/oT_Dict_LoadLevel_' + CaseName + '.csv', sep=',', index=False)