A hybrid energy-saving prediction model based on SSA-DNN for district heating system
Author(s): |
Mingju Gong
(Tianjin Key Laboratory of Thin Film Electronic and Communication Devices, School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin, People’s Republic of China)
Jiawang Sun (Tianjin Key Laboratory of Thin Film Electronic and Communication Devices, School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin, People’s Republic of China) Yin Zhao (Tianjin Key Laboratory of Thin Film Electronic and Communication Devices, School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin, People’s Republic of China) Cuitian Han (Tianjin Key Laboratory of Thin Film Electronic and Communication Devices, School of Integrated Circuit Science and Engineering, Tianjin University of Technology, Tianjin, People’s Republic of China) Bo Yan (Tianjin Sanyuan Electric Power Information Technology Co., Ltd., Tianjin , People’s Republic of China) Guannan Sun (Tianjin Tianda Qiushi Electric Power High Technology Co., Ltd., People’s Republic of China) |
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Medium: | journal article |
Language(s): | English |
Published in: | Advances in Building Energy Research, 2 January 2023, n. 1, v. 17 |
Page(s): | 1-23 |
DOI: | 10.1080/17512549.2022.2146188 |
- About this
data sheet - Reference-ID
10701748 - Published on:
16/12/2022 - Last updated on:
21/03/2023