文章基本信息

标题：An optimisation-based energy disaggregation algorithm for low frequency smart meter data
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作者：Cristina Rottondi ; Marco Derboni ; Dario Piga 等
期刊名称：Energy Informatics
电子版ISSN：2520-8942
出版年度：2019
卷号：2
期号：1 Supplement
页码：13-23
DOI：10.1186/s42162-019-0089-8
摘要：An algorithm for the non-intrusive disaggregation of energy consumption into its end-uses, also known as non-intrusive appliance load monitoring (NIALM), is presented. The algorithm solves an optimisation problem where the objective is to minimise the error between the total energy consumption and the sum of the individual contributions of each appliance. The algorithm assumes that a fraction of the loads present in the household is known (e.g. washing machine, dishwasher, etc.), but it also considers unknown loads, treating them as a single load. The performance of the algorithm is then compared to that obtained by two state of the art disaggregation approaches implemented in the publicly available NILMTK framework. The first one is based on Combinatorial Optimization, the second one on a Factorial Hidden Markov Model. The results show that the proposed algorithm performs satisfactorily and it even outperforms the other algorithms from some perspectives.
关键词：Energy disaggregation ; Non intrusive appliance load monitoring ; Energy efficiency