Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight

doi:10.3389/fenrg.2021.771433

CSpace

	Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight
	Yang, Dongchuan 1; Guo, Ju-e 1; Li, Jie 2,3; Wang, Shouyang 4,5,6; Sun, Shaolong 1
	2021-10-14
发表期刊	FRONTIERS IN ENERGY RESEARCH
ISSN	2296-598X
卷号	9 页码:14
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.
关键词	electricity demand forecasting scientometric visualization citespace knowledge mapping
DOI	10.3389/fenrg.2021.771433
收录类别	SCI
语种	英语
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
WOS类目	Energy & Fuels
WOS记录号	WOS:000713647200001
出版者	FRONTIERS MEDIA SA
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59508
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.Xi An Jiao Tong Univ, Sch Management, Xian, Peoples R China 2.Chinese Acad Sci, Natl Sci Lib, Beijing, Peoples R China 3.Liaoning Tech Univ, Coll Safety Sci & Engn, Fuxing, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 5.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China 6.Chinese Acad Sci, Ctr Forecasting Sci, Beijing, 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.