文章基本信息

标题：Jump model learning and filtering for energy end-use disaggregation
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作者：V. Breschi ; D. Piga ; A. Bemporad 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：15
页码：275-280
DOI：10.1016/j.ifacol.2018.09.147
语种：English
出版社：Elsevier
摘要：AbstractEnergy disaggregation aims at reconstructing the power consumed by each electric appliance available in a household from the aggregate power readings collected by a single-point smart meter. With the ultimate goal of fully automatizing this procedure, we first estimate a set of jump models, each of them describing the consumption behaviour of each electric appliance. By representing the total power consumed at the household level as the sum of the outputs of the estimated jump models, a filtering algorithm, based on dynamic programming, is then employed to reconstruct, in an iterative way, the power consumption at an individual appliance level.
关键词：KeywordsJump modelsFilteringEnergy disaggregationNon-intrusive appliance load monitoringRecursive estimate