ISSA-LSTM: A new data-driven method of heat load forecasting for building air conditioning
Mengran ZhouSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaLing WangSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaFeng HuSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaZiwei ZhuSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaQiqi ZhangSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaWeile KongSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaGuangyao ZhouSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaChangzhen WuSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR ChinaEnhan CuiSchool of Electrical and Information Engineering, Anhui University of Science and Technology, No. 168 Taifeng Road, Huainan, Anhui 232001, PR China
2024en
ABI
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