Time series forecast | Python implements GRU power demand forecast
Table of contents
Prediction effect
Basic description
This dataset is noteworthy for its hourly electricity usage data and corresponding TSO forecasts of consumption and pricing, allowing comparison of expected forecasts with current state-of-the-art industry forecasts. Use this data set to explore the following questions:
How do load curves and marginal supply curves emerge?
Which weather measurements and cities have the greatest impact on electricity demand, prices and generation capacity