Kun-Ling Li

A medium- and long-term model for forecasting renewable energy demand: PSO-TPA-LSTM-Stacked

Accurate renewable energy demand forecasting is important for medium- and long-term power-system planning. This study proposes PSO-TPA-LSTM-Stacked, a compact forecasting framework that integrates particle swarm optimization (PSO), temporal pattern attention (TPA), and stacked long short-term memory (LSTM) networks. PS...