An Image-Based Disaggregation Study of Time Series Energy Data Using Gramian Angular Field-Reference-Cited by-同舟云学术

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An Image-Based Disaggregation Study of Time Series Energy Data Using Gramian Angular Field

Published:2023-12-06 Issue: Volume:10696 Page:1-6
ISSN:
Container-title:2023 IEEE PES 15th Asia-Pacific Power and Energy Engineering Conference (APPEEC)
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Author:

Herath Nirasha¹,Herath Madhawa²,Thilakanayake Thakshila¹,Angammana Chitral³,Liyanage Migara²

Affiliation:

1. Memorial University of Newfoundland,Faculty of Engineering and Applied Science,St. John’s,Canada

2. Sri Lanka Institute of Information Technology,Faculty of Engineering,Malabe,Sri Lanka

3. University of Waterloo,Department of Electrical and Computer Engineering,Waterloo,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10561890/10561899/10561942.pdf?arnumber=10561942

Reference24 articles.

1. Comprehensive Analysis of Convolutional Neural Network Models for Non-Instructive Load Monitoring

2. Enhancing Electricity Audits in Residential Buildings with Nonintrusive Load Monitoring

3. Nonintrusive appliance load monitoring

4. An Event-Driven Convolutional Neural Architecture for Non-Intrusive Load Monitoring of Residential Appliance

5. A different neural NILM based energy disaggregation;Joshi;International Research Journal of Engineering and Technology (IRJET),2021

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