Effective Feature Selection and Deep Learning-Based Classification for Non-Intrusive Load Monitoring
Author:
Affiliation:
1. Department of Electronics and Communication Engineering, School of Engineering, Assam Science and Technology University, Guwahati, Assam, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2209089
Reference34 articles.
1. Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring
2. Non-Intrusive Load Monitoring and Classification of Activities of Daily Living Using Residential Smart Meter Data
3. Semisupervised Multilabel Deep Learning Based Nonintrusive Load Monitoring in Smart Grids
4. A Parallel Evolutionary Computing-Embodied Artificial Neural Network Applied to Non-Intrusive Load Monitoring for Demand-Side Management in a Smart Home: Towards Deep Learning
5. A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements
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