论文标题
电力需求预测中的知识映射：科学计量学洞察
Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight
论文作者
论文摘要
预测电力需求在电力系统的运营和计划程序以及有关电力需求预测逐年增长的出版物中起着基本作用。在本文中，我们使用科学计量分析来分析当前状态和电力需求预测领域的新兴趋势，表格831 Web of Science Core Collection在20年中的出版物：1999 - 2018年。本文采用统计描述，合作网络分析，关键字共发生分析，共同引文分析，集群分析和新兴趋势分析技术，本文为该领域中最关键的国家，机构，期刊，期刊，期刊，作者和出版物提供了合作网络关系，研究网络关系，研究热点和新兴趋势。本文的结果可以为研究人员提供有意义的指导和一些见解，以找出重要的研究，新兴趋势和该领域的新发展。
Forecasting electricity demand plays a fundamental role in the operation and planning procedures of power systems and the publications about electricity demand forecasting increasing year by year. In this paper, we use Scientometric analysis to analyze the current state and the emerging trends in the field of electricity demand forecasting form 831 publications of web of science core collection during 20 years: 1999-2018. Employing statistical description, cooperative network analysis, keyword co-occurrence analysis, co-citation analysis, cluster analysis, and emerging trend analysis techniques, this article gives the most critical countries, institutions, journals, authors and publications in this field, cooperative networks relationships, research hotspots and emerging trends. The results of this article can provide meaningful guidance and some insights for researchers to find out crucial research, emerging trends and new developments in this area.
