Instantaneous active and reactive load signature applied in non‐intrusive load monitoring systems

Abstract The performance of non‐intrusive load monitoring (NILM) systems heavily depends on the uniqueness of the load signature extracted from the electrical appliances. Different load signatures have been proposed. Recently, in particular, v–i trajectory feature extraction is attracting more and m...

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發表在:	IET Smart Grid
Main Authors:	Ricardo Brito, Man‐Chung Wong, Hong Cai Zhang, Miguel Gomes Da Costa Junior, Chi‐Seng Lam, Chi‐Kong Wong
格式:	Article
語言:	英语
出版:	Wiley 2021-02-01
主題:	domestic appliances feature extraction learning (artificial intelligence) load (electric) load management power engineering computing
在線閱讀:	https://doi.org/10.1049/stg2.12008