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Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight

文献类型：期刊论文

作者Yang, Dongchuan1; Guo, Ju-e1; Li, Jie2,3; Wang, Shouyang4,5,6; Sun, Shaolong1
刊名FRONTIERS IN ENERGY RESEARCH
出版日期2021-10-14
卷号9页码:14
关键词electricity demand forecasting scientometric visualization citespace knowledge mapping
ISSN号2296-598X
DOI10.3389/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
WOS记录号WOS:000713647200001
出版者FRONTIERS MEDIA SA
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.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.

入库方式： OAI收割

来源：数学与系统科学研究院

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