nilm

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.

nilm nilm-algorithms

UpdatedFeb 25, 2018
Python

goruck /nilm

Star75

Energy Management Using Real-Time Non-Intrusive Load Monitoring

deep-learning nilm energy-disaggregation edge-computing energy-management tensorflow-lite tensorflow2

UpdatedMay 23, 2024
Python

ChristoferNal /multi-nilm

Star68

Multi-NILM: Multi Label Non Intrusive Load Monitoring

time-series dft sax boss nilm energy-disaggregation multi-label sfa blind-source-separation weasel paa time-series-representations non-intrusive-load-monitoring multi-nilm signal2vec multi-label-nilm time-series-embedding 1d-sax

UpdatedMay 21, 2020
Python

JackKelly /neuralnilm_prototype

Star52

energy deep-learning neural-networks nilm energy-disaggregation

UpdatedJan 29, 2018
Jupyter Notebook

antoniosudoso /attention-nilm

Star44

An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring

nilm attention-mechanism deep-neural-network non-intrusive-load-monitoring

UpdatedJun 25, 2022
Python

UCA-Datalab /nilm-thresholding

Star37

⚠️ This repository is no longer actively maintained.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

UpdatedSep 14, 2023
Python

mahnoor-shahid /nilm_analyzer

Star36

Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resampling, normalization and extract activities by thresholding.

python nilm non-intrusive-load-monitoring

UpdatedOct 31, 2024
Python

maechler /nnilm

Star36

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

neural-network keras nilm nilmtk nilm-algorithms non-intrusive-load-monitoring

UpdatedDec 17, 2019
Python

LucasNolasco /DeepDFML-NILM

Star34

A new CNN architecture to perform detection, feature extraction, and multi-label classification of loads, in non-intrusive load monitoring (NILM) approaches, with a single model for high-frequency signals.

deep-learning tensorflow cnn yolo nilm nilm-algorithms

UpdatedMay 25, 2022
Jupyter Notebook

louisyuzhe /MachineLearning_NILM

Star33

Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation

machine-learning deep-neural-networks deep resnet nilm energy-disaggregation denoising-autoencoders lstm-neural-networks