Hybrid model for robust and accurate forecasting building electricity demand combining physical and data-driven methods

被引：0
|
作者：
Dong, Xianzhou [1 ]
Guo, Weiyong [1 ]
Zhou, Cheng [3 ]
Luo, Yongqiang [1 ,2 ]
Tian, Zhiyong [1 ,2 ]
Zhang, Limao [3 ]
Wu, Xiaoying [4 ]
Liu, Baobing [4 ]
机构：
[1] School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
[2] Hubei Key Laboratory of Multi-media Pollution Cooperative Control in Yangtze Basin, School of Environmental Science & Engineering, Huazhong University of Science and Technology (HUST), 1037 Luoyu Road, Hubei, Wuhan,430074, China
[3] School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China
[4] Glodon Corporation Ltd, China
来源：
Energy | 2024年 / 311卷
关键词：
Compendex;
D O I：
10.1016/j.energy.2024.133309
中图分类号：
学科分类号：
摘要：
K-means clustering
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