Development of a Non-Intrusive Load Monitoring (NILM) with Unknown Loads using Support Vector Machine-Reference-Cited by-同舟云学术

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Development of a Non-Intrusive Load Monitoring (NILM) with Unknown Loads using Support Vector Machine

Published:2021-06-26 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Automatic Control & Intelligent Systems (I2CACIS)
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Author:

Hernandez Anjon S.,Ballado Alejandro H.,Heredia Aaron Paulo D.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9495828/9495325/09495876.pdf?arnumber=9495876

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Non-Intrusive Load Decomposition Model Based on Multiple Electrical Parameters to Point;Energies;2024-09-06

2. Evaluation of regression models and Bayes-Ensemble Regressor technique for non-intrusive load monitoring;Sustainable Energy, Grids and Networks;2024-06

3. A novel non-intrusive load monitoring technique using semi-supervised deep learning framework for smart grid;Building Simulation;2023-12-04

4. A Non-Intrusive Identification Approach for Residential Photovoltaic Systems Using Transient Features and TCN with Attention Mechanisms;Sustainability;2023-10-13

5. Development of Non-Intrusive Load Monitoring of Electricity Load Classification with Low-Frequency Sampling Based on Support Vector Machine;Journal of Engineering and Technological Sciences;2023-05-12

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