W. Glad

An empirical benchmark of deep time-series models for smart meter energy forecasting

An empirical benchmark of nine modern deep learning models for time-series forecasting, including linear, MLP-based, convolutional, and Transformer architectures, is presented, showing that deep learning models consistently outperform classical baselines, while lightweight architectures achieve relatively similar perfo...