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  • 标题:Consumption Management Software for Electric Power Suppliers
  • 本地全文:下载
  • 作者:Ana-Ramona BOLOGA ; Simona-Vasilica OPREA ; Adela BARA
  • 期刊名称:Database Systems Journal
  • 电子版ISSN:2069-3230
  • 出版年度:2020
  • 卷号:XI
  • 期号:2
  • 页码:31-40
  • 语种:English
  • 出版社:Bucharest Academy of Economic Studies Publishing House
  • 摘要:The electricity market is a very complex reality, with numerous participants, rules, factors that influence the evolution of energy production and consumption. This paper presents a software solution that supports electric power suppliers as participants in this complex market. The prototype uses machine learning algorithms to determine consumer clusters and forecast the next day's consumption, the purpose being to obtain the flattening of the consumption curve at the level of the electricity supplier. Based on the initial consumption planning of programmable devices transmitted by consumers, four consumption optimization algorithms are applied in parallel, giving the energy supplier the possibility to decide the optimal plan for the next day.
  • 关键词:powersector;software;powersuppliers;forecast;optimization
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