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  • 标题:Research on Key Factors Affecting Power Supply and Demand Trend Based on Complex Correlation
  • 本地全文:下载
  • 作者:Dunnan Liu ; Rui Ge ; Pengfei Li
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:165
  • 页码:1-5
  • DOI:10.1051/e3sconf/202016506022
  • 出版社:EDP Sciences
  • 摘要:The market behaviors of the supply and demand sides in the power market are the issues that market participants, operators and regulators are most concerned about. This article starts from the two dimensions of power generation market behavior and demand market behaviour, analyzes the impact of power transaction behavior on supply and demand trend changes, and then studies the function of big data technology in correlation analysis. The qualitative data is converted into quantitative data, and then gray rule analysis and correlation coefficient analysis are used to mine association rules. The results show that demand response is the key factor that affects the change of load trend.
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