Ν. Nathan

Peak-aware short-term household electricity consumption forecasting using deep learning and transformer-based architectures

A detailed deep learning analysis of the UCI household power consumption dataset, which includes minute-level measurements from French households over four years, demonstrates that the hybrid CNN-LSTM provide improved overall household load forecasting on RMSE and TFT-Lite is advantageous for peak-aware forecasting pea...