Arif Rahman Hakim

Performance Evaluation of LSTM, GRU, and Transformer Models with Incremental Learning for Real-Time Streaming Load Forecasting in the West Kalimantan Power System

Accurate short-term load forecasting is essential for reliable and efficient power system operation, yet its accuracy is influenced by prediction horizon and load dynamics. This study evaluates Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Transformer models under baseline and incremental learning fram...