LoadKAN combines feature-isolated temporal attention with KAN to produce competitive load forecasts on three U.S. markets and enables quantitative analysis of non-linear mobility-load relationships via learned activation functions.
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Mobility indices derived from mobile network data improve state-of-the-art electricity demand forecasting models during the atypical 2022-2023 sobriety period in France.
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Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis
Mobility indices derived from mobile network data improve state-of-the-art electricity demand forecasting models during the atypical 2022-2023 sobriety period in France.