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Design of energy consumption monitoring system of public buildings based on artificial neural network

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成果类型:
期刊论文
作者:
Chuan He;Jin Lin;Xin Xiang;Lie Yu;Hui-hua Xiong
通讯作者:
Xiong, H.-H.
作者机构:
[Lie Yu] School of Hydraulic Engineering, Changsha University of Science and Technology, Changsha, 410114, China
[Chuan He; Jin Lin; Xin Xiang] School of Architecture, Changsha University of Science and Technology, Changsha 410114, China
[Hui-hua Xiong] School of Architecture and Urban Planning, Hunan City University, Yiyang, 413000, China
通讯机构:
School of Architecture and Urban Planning, Hunan City University, Yiyang, China
语种:
英文
关键词:
artificial neural network;public building;energy consumption monitoring system;genetic algorithm
期刊:
International Journal of Industrial and Systems Engineering
ISSN:
1748-5037
年:
2022
卷:
41
期:
3
页码:
349-362
机构署名:
本校为通讯机构
院系归属:
建筑与城市规划学院
摘要:
In order to overcome the problems of low monitoring accuracy and long response time in traditional energy consumption monitoring system of public buildings, a new energy consumption monitoring system of public buildings based on artificial neural network is proposed. The system hardware is designed by using the energy consumption collection subsystem and energy consumption data transmission subsystem of public buildings. Through the genetic algorithm to optimise the constraint parameters of the physical sign extraction function to obtain the ch...

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