Forecasting Electricity Prices in a Changing Landscape

This chapter explores the complexities of forecasting electricity prices, driven by the rapid integration of renewable energy and battery storage technologies. The speakers highlight the challenges posed by historical data reliance and the necessity for advanced probabilistic models to interpret evolving market dynamics. Emphasizing the importance of combining machine learning with human insight, the discussion focuses on enhancing decision-making in energy trading and the implications of changing price patterns.