The AMBAL-based NILM Trace generator (for NILMTK)
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Updated
Aug 25, 2021 - Python
The AMBAL-based NILM Trace generator (for NILMTK)
NILM performance evaluation functions use in the Springer Energy Efficiency journal paper.
This repository is the code basis for the paper titled "Using Deep Learning and Knowledge Transfer to Disaggregate Energy Consumption"
A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.
Supervised NILM using multiple-choice knapsack problem (MCKP).
An Non-Intrusive Load Disaggregation method based on Neural Network. A sequence-to-sequence model and a sequence-to-point model are proposed.
The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.
Non-Intrusive Load Monitoring Toolkit (nilmtk)
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