Low Complexity Energy Disaggregation Algorithm for Non-intrusive Load Monitoring-Reference-Cited by-同舟云学术

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Low Complexity Energy Disaggregation Algorithm for Non-intrusive Load Monitoring

Published:2024-03-22 Issue: Volume: Page:1-12
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Devie P. M.¹,Kalyani S.²,Manoharan P. S.¹,Chandra V.³

Affiliation:

1. Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, India

2. Department of Electrical and Electronics Engineering, Kamaraj College of Engineering and Technology, Virudhunagar, India

3. Department of Electrical and Electronics Engineering, AAA College of Engineering and Technology, Sivakasi, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2024.2332388

Reference24 articles.

1. Machine learning approaches for non-intrusive load monitoring: from qualitative to quantitative comparation

2. Event-driven two-stage solution to non-intrusive load monitoring

3. K. Ye et al. “A modified sequence-to-Point HVAC load disaggregation algorithm ” 2022. arXiv preprint arXiv:2212.04886.

4. Z. Luo R. Qi Q. Li J. Zheng and S. Shao “ABODE-Net: an attention-based deep learning model for non-intrusive building occupancy detection using smart meter data ” 2022. arXiv preprint arXiv:2212.11396.

5. M. H. Shahab et al. “Transfer Learning for Non-Intrusive Load Monitoring and Appliance Identification in a Smart Home ” 2023. arXiv preprint arXiv:2301.03018.

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