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Aiying Bi

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Articles

Advanced Short-Term Load Forecasting with XGBoost-RF Feature Selection and CNN-GRU

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By Wei Kuang, Kai Geng, Jingping Cui, Aiying Bi
| MDPI
1. Introduction Electric load forecasting is central to power system management, ensuring effective energy allocation and stable grid operation. With the continuous development of the social economy and the sharp increase in energy demand, the accuracy of short-term electric load forecasting is crucial for immediate power grid scheduling decisions and has a profound impact on long-term optimization strategies for energy supply.
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