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Meng He1, Hui Wang2, Myo Thwin3,4
1School of Software and Big Data, Changzhou College of Information Technology, Changzhou, 213164, Jiangsu, China. hemeng1120@qq.com.
精确的空调负载预测对于能源效率至关重要. 一个结合Gated Recurrent Unit (GRU) 网络和Improved Alpine Skiing Optimizer (IASO) 的新模型在预测能源需求方面表现出卓越的准确性和稳定性.
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