Use of Binary Classification in Non-Invasive Load Monitoring

Use of Binary Classification in Non-Invasive Load Monitoring

The increasing energy intensity of the economy has led us to look for ways to reduce this negative trend. One method is non-intrusive load monitoring (NILM). This paper presents the use of artificial intelligence methods for the selection of information features and for the identification of operati...

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Bibliographic Details
Main Authors: Jacek Bartman, Bogdan Kwiatkowski, Damian Mazur, Paweł Krutys, Boguslaw Twarog
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
feature selection
artificial intelligence
neural networks
decision trees
Online Access:https://www.mdpi.com/2076-3417/15/12/6807
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