Resident non-invasive load identification algorithm based on prior statistical model

Resident non-invasive load identification algorithm based on prior statistical model

In this paper, a non-intrusive load identification algorithm for residents based on prior knowledge and statistical learning model is proposed to solve the problem of insufficient electric heating subdivision capability in traditional identification technology. In this paper, the electric heating su...

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Bibliographic Details
Main Authors: ZHAO Cheng, SONG Yanxin, ZHOU Gan, FENG Yanjun, GUO Shuai, LI Jiwei
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2024-01-01
Series:电力工程技术
Subjects:
non-intrusive load monitoring (nilm)
event detection
subdivision of electric heating equipment
statistical analysis
gaussian mixture model (gmm)
support vector machine (svm)
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/221117615

Internet

https://www.epet-info.com/dlgcjsen/article/abstract/221117615

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