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Author

Hao Zhang

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Jul 2026

A Method for Short-Term Electricity Load Forecasting Under Extreme Weather Conditions Based on Adaptive Signal Decomposition

The effects of long heat waves are cumulative and the electricity demand is highly non-stationary in its nature. In order to solve this issue, a multi-stage prediction system has been suggested in this paper with a focus on the extended high-temperature conditions. To begin with, scenario subsets were built by classify...

Xi-Yang Liu, Hao Zhang, Mengtao Sun et al. · 0 citations
Aug 2026

A Machine Learning-Based Probabilistic Electricity Load Forecasting Method under Extreme Weather Conditions

An integrated probabilistic forecasting framework with three linked stages: extreme-weather load identification, TimeGAN-based sample augmentation, and conformal quantile forecasting, which improves forecasting accuracy under extreme-weather conditions.

Hao Zhang, Xi-Yang Liu, Ruotian Gao et al. · 0 citations

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