A First Approach using Graph Neural Networks on Non-Intrusive-Load-Monitoring
Author:
Affiliation:
1. Plegma Labs, Greece and National Technical University of Athens, Greece
2. National Technical University of Athens, Greece
3. Plegma Labs, Greece
Funder
MSCA-ITN-ETN - European Training Networks
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3529190.3534722
Reference34 articles.
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3. Non-Intrusive Appliances Load Monitoring (NILM) for Energy Conservation in Household with Low Sampling Rate
4. New Design of a Supervised Energy Disaggregation Model Based on the Deep Neural Network for a Smart Grid
5. Generalized Nonlinear Relevance Feedback for Interactive Content-Based Retrieval and Organization
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