Forecasting residential electricity consumption using a hybrid machine learning model with online search data

	Forecasting residential electricity consumption using a hybrid machine learning model with online search data
	Gao Feng ; Chi Hong ; Shao Xueyan
刊名	Applied Energy
	2021
期号	300 页码:1-13
关键词	Residential electricity consumption forecasting Online search data Extreme learning machine Jaya
DOI	10.1016/j.apenergy.2021.117393
语种	英语
内容类型	期刊论文
源URL	[http://ir.casisd.cn/handle/190111/11522]
专题	系统分析与管理研究所
通讯作者	Shao Xueyan
作者单位	1.University of Chinese Academy of Sciences, China 2.Institutes of Science and Development, Chinese Academy of Sciences, China
推荐引用方式 GB/T 7714	Gao Feng,Chi Hong,Shao Xueyan. Forecasting residential electricity consumption using a hybrid machine learning model with online search data[J]. Applied Energy,2021(300):1-13.
APA	Gao Feng,Chi Hong,&Shao Xueyan.(2021).Forecasting residential electricity consumption using a hybrid machine learning model with online search data.Applied Energy(300),1-13.
MLA	Gao Feng,et al."Forecasting residential electricity consumption using a hybrid machine learning model with online search data".Applied Energy .300(2021):1-13.