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Load Prediction Methods Using Machine Learning for Home Energy Management Systems Based on Human Behavior Patterns Recognition

Longmao Fan Jianing Li Xiao-Ping Zhang

中国电机工程学会电力与能源系统学报（英文版）2020，Vol.6Issue(3)：563-571,9.

中国电机工程学会电力与能源系统学报（英文版）2020，Vol.6Issue(3)：563-571,9.DOI:10.17775/CSEEJPES.2018.01130

Load Prediction Methods Using Machine Learning for Home Energy Management Systems Based on Human Behavior Patterns Recognition

Longmao Fan ¹Jianing Li ¹Xiao-Ping Zhang¹

作者信息

1. Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Birmingham,B15 2TT, U.K
折叠

摘要

关键词

Cluster analysis/home energy management systems/long short-term memory/machine learning/neural network

Key words

Cluster analysis/home energy management systems/long short-term memory/machine learning/neural network

引用本文复制引用

Longmao Fan,Jianing Li,Xiao-Ping Zhang..Load Prediction Methods Using Machine Learning for Home Energy Management Systems Based on Human Behavior Patterns Recognition[J].中国电机工程学会电力与能源系统学报（英文版）,2020,6(3):563-571,9.

基金项目

This work was supported in part by EPSRC Grant EP/N032888/1 and EP/L017725/1. （）

中国电机工程学会电力与能源系统学报（英文版）

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ISSN：2096-0042

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