Ling-Yu Zhang

Short-term power load forecasting based on EMA decomposition and an improved LSTM-transformer

Reliable forecasts of electricity demand over short horizons are required for routine grid scheduling and energy management decisions. Their accuracy, however, is degraded by the coexistence of slow trends, recurring cycles, irregular variations, and measurement noise in load records. This study develops a forecasting...