Energy Market Price Forecasting
Machine learning models predict day-ahead and real-time market prices using inputs such as demand forecasts, generation availability, weather conditions, and historical price patterns. AI adapts to market rule changes and real-time events. Outputs are used by utilities, traders, and aggregators to optimize bidding strategies. Forecast confidence intervals help assess market risks.


