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  • 标题:Kalman filtering for energy disaggregation
  • 本地全文:下载
  • 作者:V. Breschi ; D. Piga ; A. Bemporad
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:5
  • 页码:108-113
  • DOI:10.1016/j.ifacol.2018.06.219
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractProviding the users information on the energy consumed in the household at the appliance level is of major importance for increasing their awareness of their consumption behavior. In this paper, we propose a technique based on Kalman filters to estimate the devices’ consumption patterns from aggregate readings, i.e., to solve the so called disaggregation problem. The method is suited for on-line disaggregation and the proposed results show that it is robust against modelling errors and unmodelled appliances.
  • 关键词:KeywordsEnergy disaggregationKalman filterMarkov jump modelsrecursive estimate
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