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  • 标题:Overview of Non-Intrusive Load Monitoring: Probabilistic and Artificial Intelligence approaches
  • 本地全文:下载
  • 作者:Jamila Ouzine ; Manal Marzouq ; Saad Dosse Bennani
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2022
  • 卷号:351
  • 页码:1-6
  • DOI:10.1051/e3sconf/202235101021
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Reduction and conservation of electrical energy consumption in residential buildings is the main objective of Non-Intrusive Load Monitoring (NILM) techniques. NILM detects events and estimate the power consumption of individual appliances by analyzing the aggregate power consumption measured at the service entry. Indeed, our major contribution in this paper is to update research works on NILM methodologies by adding the most recent NILM methods proposed in the literature. In this paper we present an overview of NILM and energy disaggregation methods. Then, we discuss the challenges of this technique to provide useful recommendations for future research.
  • 关键词:Appliance Load Monitoring;NILM;ILM;Energy disaggregation
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