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Heatwave-Gated Adaptive Spatiotemporal Learning for Short-Term Load Forecasting of Light-Industrial Multiusers

Findings indicate that incorporating extreme meteorological information into spatiotemporal forecasting frameworks is an effective way to enhance accuracy and robustness in high-temperature, strongly nonstationary conditions.

Ya-Hui Wang, Hui Zhang, Hongzhang Zhu et al. · 0 citations

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