Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization
Jianing Chen, Vajiheh Farhadi, Yan Li +1
Short-term load forecasting (STLF) provides essential information for numerous applications in modern power systems. However, accurate STLF often relies on fine-grained smart-meter…
cs.LG2024
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
Yuqi Jiang, Yan Li, Yize Chen
Rapid progress in machine learning and deep learning has enabled a wide range of applications in the electricity load forecasting of power systems, for instance, univariate and mul…