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20212025
most citedPrivacy-preserving Federated Learning for Residential Short Term Load Forecasting

141 citations · 150 across the 5 of their papers we have counts for

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cs.LG2025

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?

Quoc Viet Nguyen, Joaquin Delgado Fernandez, Sergio Potenciano Menci

Short term Load Forecasting (STLF) plays an important role in traditional and modern power systems. Most STLF models predominantly exploit temporal dependencies from historical dat…

cs.LG2021★ 141 cited

Privacy-preserving Federated Learning for Residential Short Term Load Forecasting

Joaquin Delgado Fernandez, Sergio Potenciano Menci, Charles Lee +1

With high levels of intermittent power generation and dynamic demand patterns, accurate forecasts for residential loads have become essential. Smart meters can play an important ro…