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domestic-appliances

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UCA-Datalab / nilm-thresholding

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⚠️ This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.

monitoring deep-learning neural-network tensorflow pytorch recurrent-neural-networks gru nilm nilm-algorithms convolutional-neural-networks thresholding domestic-appliances thresholding-methods
  • Updated Sep 14, 2023
  • Python

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