Open access
Aug 2026
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...
Behnaz Kavoosighafi, Maria Eidenskog, W. Glad et al.
· Energy and AI · 0 citations