Machine learning approach for non-intrusive load monitoring in smart grids: new deep learning method based on long short-term memory and convolutional neural networks-Reference-Cited by-同舟云学术

Machine learning approach for non-intrusive load monitoring in smart grids: new deep learning method based on long short-term memory and convolutional neural networks

Published:2022-12-28 Issue: Volume: Page:
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Container-title:2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)
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Author:

Naderian Sobhan¹

Affiliation:

1. University of Glasgow,James Watt School of Engineering (JWSE),System Power and Energy (SPE) Department,Glasgow,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10043829/10043862/10044076.pdf?arnumber=10044076

Reference40 articles.

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

4. A theoretical analysis of feature pooling in visual recognition;boureau;In Proceedings of the 27th international conference on machine learning (ICML-10),2010

5. Particle-Swarm-Optimization-Based Nonintrusive Demand Monitoring and Load Identification in Smart Meters

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