Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight

doi:10.3389/fenrg.2021.771433

	Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight
	Yang, Dongchuan 6; Guo, Ju-e 6; Li, Jie 4,5; Wang, Shouyang 1,2,3; Sun, Shaolong 6
刊名	FRONTIERS IN ENERGY RESEARCH
	2021-10-14
卷号	9 页码:14
关键词	electricity demand forecasting scientometric visualization citespace knowledge mapping
ISSN号	2296-598X
DOI	10.3389/fenrg.2021.771433
英文摘要	Electricity demand forecasting plays a fundamental role in the operation and planning procedures of power systems, and the publications related to electricity demand forecasting have attracted more and more attention in the past few years. To have a better understanding of the knowledge structure in the field of electricity demand forecasting, we applied scientometric methods to analyze the current state and the emerging trends based on the 831 publications from the Web of Science Core Collection during the past 20 years (1999-2018). Employing statistical description analysis, cooperative network analysis, keyword co-occurrence analysis, co-citation analysis, cluster analysis, and emerging trend analysis techniques, this study gives a comprehensive overview of the most critical countries, institutions, journals, authors, and publications in this field, cooperative networks relationships, research hotspots, and emerging trends. The results can provide meaningful guidance and helpful insights for researchers to enhance the understanding of crucial research, emerging trends, and new developments in electricity demand forecasting.
资助项目	National Natural Science Foundation of China[72101197] ; National Natural Science Foundation of China[71988101] ; Fundamental Research Funds for the Central Universities[SK2021007]
WOS研究方向	Energy & Fuels
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000713647200001
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/59507]
专题	中国科学院数学与系统科学研究院
通讯作者	Sun, Shaolong
作者单位	1.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Ctr Forecasting Sci, Beijing, Peoples R China 4.Liaoning Tech Univ, Coll Safety Sci & Engn, Fuxing, Peoples R China 5.Chinese Acad Sci, Natl Sci Lib, Beijing, Peoples R China 6.Xi An Jiao Tong Univ, Sch Management, Xian, Peoples R China
推荐引用方式 GB/T 7714	Yang, Dongchuan,Guo, Ju-e,Li, Jie,et al. Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight[J]. FRONTIERS IN ENERGY RESEARCH,2021,9:14.
APA	Yang, Dongchuan,Guo, Ju-e,Li, Jie,Wang, Shouyang,&Sun, Shaolong.(2021).Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight.FRONTIERS IN ENERGY RESEARCH,9,14.
MLA	Yang, Dongchuan,et al."Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight".FRONTIERS IN ENERGY RESEARCH 9(2021):14.