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Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models

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Electricity Demand Forecasting

Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models.



Completed as the final project for a graduate level data science course. See the Jupyter notebook for full report.

Authors

  • Spandan Gandhi
  • Harrison Van Til

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Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models

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