Non intrusive load identification for smart energy management systems
作者： G. Chelli , L. Ciabattoni , J.M. Flores-Arias , G. Foresi , A. Monteriu
DOI: 10.1109/ICCE.2018.8326318
关键词: Home automation 、 Identification (information) 、 Distributed computing 、 Task analysis 、 Computer science 、 Energy management 、 Energy (signal processing)
摘要: In an energy management (EM) perspective, objective function considering the balance of and resources needs to be optimized. To reach goal, in a residential scenario, number tasks (typically appliances) can managed (e.g. shifted). This paper proposes unobtrusive cascade classifier approach autonomously identify different appliances their priorities (shiftable, non interruptible, continuous loads) EM algorithms based on smart plugs measures.
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