Skip to content

Latest commit

 

History

History
14 lines (11 loc) · 584 Bytes

README.md

File metadata and controls

14 lines (11 loc) · 584 Bytes

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