摘要
为研究大数据在电力行业的应用情况和研究热点,运用文献计量学方法,以国内数据库收录的2020年-2021年中文北大核心文献数据为来源、以CiteSpace,v.6.1 R2为分析软件,从研究文献数量、关键词聚类、研究机构合作、关键词突现的角度对相关文献题录进行统计分析及数据挖掘。分析结果表明,国内对于电力大数据的研究整体呈现上升趋势,相关学者和学术机构、企业对电力大数据的研究、合作比较紧密。人工智能、神经网络、机器学习仍将是未来的研究热点,大气治污、电力环保、负荷预测、能源互联网将是电力大数据的重点应用服务方向。
In order to study the application and research hotspots of the power industry with big data,this paper uses the bibliometric method,takes the core literature data of Peking University in China from 2020 to 2021 included in domestic database as the source,and uses CiteSpace,v.6.1R2 as the analysis software to carry out statistical analysis and data mining from the perspectives of the number of research documents,keyword clustering,research institution cooperation and keyword emergence.The analysis results are shown as below:The domestic research on power big data shows an overall upward trend,and the research and cooperation of related academic institutions and enterprises on power big data are relatively close.Artificial intelligence,neural network and machine learning may be the research focus and hotspots in this field in the future.Atmospheric pollution control,power environmental protection,load forecasting and energy Internet will be the key application service directions of power big data.
作者
林正根
孙禔
安风霞
傅静雯
俞颖
LIN Zhenggen;SUN Ti;AN Fengxia;FU Jingwen;YU Ying(China Energy Science and Technology Research Institute Co.,Ltd.,Nanjing Jiangsu 210032,China;Electric Power Research Institute,State Grid Hubei Electric Power Co.,Ltd.,Wuhan Hubei 430077,China)
出处
《湖北电力》
2022年第6期133-140,共8页
Hubei Electric Power
基金
国家重点研发计划(项目编号:2017YFC0210203)
国家重点研发专项(项目编号:2022YFC3701504)
国家能源投资集团有限责任公司科技项目“环境风洞实验室综合能力提升项目”(项目编号:GJNY-22-89)。
关键词
电力大数据
文献计量
大气治污
人工智能
数据安全
power big data
bibliometrics
atmospheric pollution control
artificial intelligence
data security
