Timur Lale

A Comparative Study of Ensemble Tree-Based Models for Short-Term Electricity Load Forecasting

Short-term load forecasting (STLF) is an essential task for reliable power system operation, economic dispatch, reserve scheduling, and grid planning. This study aims to provide an operationally realistic and interpretable comparison of five ensemble tree-based machine learning (ML) models for national electricity dema...