California Independent System Operator (CAISO) Energy market Data

The processed data contains hourly day-ahead energy prices, wind forecasts, actual wind, load forecasts, actual loads, and real-time prices. These data sets were used to build an ensemble of machine learning models and the EnergyBidMaster App, which forecasts Day-Ahead and Real-Time Energy Prices within 24 hours of the forecast date to inform market bidding decisions, utilizing data available at forecast runtime. The software EnergyBidMaster for intelligent bidding in energy markets can be publicly accessed from https://energybidmaster.com/ Published study: Ibebuchi, C.C. (2025). Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors. Forecasting, 7, 18. https://doi.org/10.3390/forecast7020018