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Non-Intrusive Load Monitoring Toolkit (nilmtk)

Nilm Thresholding ⭐ 28

⚠️ This repository is no longer actively maintained.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.

Neural Nilm ⭐ 18

An Non-Intrusive Load Disaggregation method based on Neural Network. A sequence-to-sequence model and a sequence-to-point model are proposed.

A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.

Electrical Devices Identification Model ⭐ 6

Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profiles.

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