A nonintrusive load identification method for residential applications based on quadratic programming

Autor: Yang Fu, Fangxing Li, Dongdong Li, Lunjia Zhao, Shunfu Lin, Liu Qingqiang
Rok vydání: 2016
Předmět:
Zdroj: Electric Power Systems Research. 133:241-248
ISSN: 0378-7796
DOI: 10.1016/j.epsr.2015.12.014
Popis: The decomposition of household power consumption is highly desired for scheduling household appliances and reducing home energy consumption. This paper presents a novel nonintrusive load identification method based on quadratic programming. Extensive simulation and laboratory tests have demonstrated that the proposed technique can provide adequate load identification accuracy for residential energy monitoring such that it is suitable for nonintrusive load monitoring (NILM) systems in residential and commercial buildings.
Databáze: OpenAIRE