EdgeNILM
Author:
Affiliation:
1. IIT Gandhinagar, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3408308.3427977
Reference30 articles.
1. Structured Pruning of Deep Convolutional Neural Networks
2. Is disaggregation the holy grail of energy efficiency? The case of electricity
3. NILMTK
4. Towards reproducible state-of-the-art energy disaggregation
5. Revealing household characteristics from smart meter data
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2. DP2-NILM: A distributed and privacy-preserving framework for non-intrusive load monitoring;Renewable and Sustainable Energy Reviews;2024-03
3. A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context;Energy and Buildings;2024-02
4. Advancing Sustainable IoT Appliance Load Monitoring Through Edge-Enabled Federated Transfer Learning;2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST);2024-01-17
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