IEE Seminar: Improving Day-Ahead Energy Forecasts for Power System Operations with Open-source Data and Machine Learning
Increasing shares of wind and solar generation and rising electricity demand introduce uncertainty in power system operations. Improving short-term day-ahead forecasts of renewable energy generation and demand is critical for system operators to reduce the risk of forecasting errors, coordinate operations of the electricity market, and minimize the cost of maintaining the power system reliability. In this seminar, we will introduce the concepts of power systems markets.