Short-Term Electricity Load Forecasting using Deep Learning Models for the Renewable-Integrated Power System
Short-term electricity load forecasting is critical for reliable power system operations and economic planning. This study evaluates deep-learning models based on gated recurrent units (GRUs) to predict day-ahead electricity demand from hourly system load data obtained from the California Independent System Operator (C...