Wenjun Guo

A PyTorch-Based Long Short-Term Memory (LSTM) Model for Short-Term Electricity Load Forecasting in South Australia

This study develops a PyTorch-based LSTM model for short-term electricity load forecasting, using South Australian electricity demand data from 2024, and shows that the LSTM model can follow the main movement of electricity demand, but the prediction curve is smoother than the actual curve and some short-term fluctuations remain difficult to capture.