基于用电大数据的中长期负荷预测研究  

Research of medium-long term load forecasting based on electricity big data

作　　者：郑海雁[1] 王成亮[1] Zheng Haiyan;Wang Chengliang(Jiangsu Frontier Electric Technology Co.,Ltd.,Nanjing 211102,China)

机构地区：[1]江苏方天电力技术有限公司,南京211102

出　　处：《电测与仪表》2018年第13期74-77,共4页Electrical Measurement & Instrumentation

摘　　要：随着全球信息化的发展,大数据时代已然来临。而电力行业与国计民生息息相关,有必要引入大数据技术提高其经济性、可靠性。江苏用电信息采集系统的建成,营销历史档案信息的积累,都为电力大数据的研究奠定了丰富的数据基础,江苏公司有优势、也有必要充分利用用电大数据,开展相关的研究工作。文章以基于用电大数据建立了行业负荷和电量影响模型,开展了中长期网供负荷预测研究,取得了一定的成果,为推动大数据技术在江苏电网中的应用做出了一定的贡献。With the development of global informatization,the big data era has come. Electric power industry is closely related to the national economy and people＇s life,so it is necessary to introduce big data to improve its economy and reliability. The establishment of electricity information acquisition system and the accumulation of history information in marketing system provides a rich data fundamental for research of electric power big data. Jiangsu Electric Power Company has advantages and necessity to make full use of electricity big data to carry out related research work. This paper established power load and electricity impact model of different areas and industries based on electricity big data,and carried out the research on medium-long term load forecasting,which achieved some results and promoted the application of big data technology in Jiangsu Power Grid.

关 键 词：用电信息采集系统 用电大数据 负荷影响模型 电量影响模型 中长期负荷预测 

分 类 号：TM714[电气工程—电力系统及自动化]