An Efficient and Accurate Nonintrusive Load Monitoring Scheme for Power Consumption

Nonintrusive load monitoring (NILM) has attracted tremendous attention owing to its cost efficiency in electricity and sustainable development. NILM aims at acquiring individual appliance power consumption rates using an aggregated power smart meter reading. Each individual appliance's power co...

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Veröffentlicht in:	IEEE internet of things journal 2019-10, Vol.6 (5), p.9054-9063
Hauptverfasser:	He, Jialing, Zhang, Zijian, Zhu, Liehuang, Zhu, Zhesi, Liu, Jiamou, Gai, Keke
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Appliances Clustering Clustering algorithms Computing time Decomposition Electric appliances Electricity consumption Electricity meters Electricity pricing Energy conservation energy disaggregation feature learning Genetic algorithms Home appliances Learning Monitoring nonintrusive load monitoring (NILM) Power consumption Power demand Smart meters supervised Sustainable development Training data
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