A curated resources of awesome NILM resources
☆211Apr 15, 2024Updated last year
Alternatives and similar repositories for awesome-nilm
Users that are interested in awesome-nilm are comparing it to the libraries listed below
Sorting:
- An archive for NILM papers with source code and other supplemental material☆140Jan 19, 2024Updated 2 years ago
- ☆137Jun 30, 2025Updated 8 months ago
- Transfer Learning for Non-Intrusive Load Monitoring☆131Jul 5, 2020Updated 5 years ago
- Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.☆143Apr 20, 2021Updated 4 years ago
- This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting …☆40Sep 14, 2023Updated 2 years ago
- Deep Neural Networks Applied to Energy Disaggregation☆159Mar 18, 2019Updated 6 years ago
- Non-Intrusive Load Monitoring Toolkit (nilmtk)☆923Nov 24, 2025Updated 3 months ago
- A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.☆132Nov 10, 2024Updated last year
- Sequence-to-point learning for non-intrusive load monitoring (energy disaggregation)☆77Jul 2, 2020Updated 5 years ago
- Sequence-to-point learning for non-intrusive load monitoring☆112Jun 28, 2020Updated 5 years ago
- [NILM@SenSys 2020] PyTorch Implementation of BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring☆81Dec 5, 2020Updated 5 years ago
- WaveNILM as published at ICASSP 2019☆33Sep 23, 2022Updated 3 years ago
- Seq2subseq method for NILM☆44Nov 13, 2019Updated 6 years ago
- Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"☆62Jun 27, 2020Updated 5 years ago
- AMBAL-based NILM Trace generator☆23Sep 30, 2022Updated 3 years ago
- ☆60Apr 19, 2021Updated 4 years ago
- The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source cod…☆91Feb 25, 2018Updated 8 years ago
- An Non-Intrusive Load Disaggregation method based on Neural Network. A sequence-to-sequence model and a sequence-to-point model are propo…☆47Jun 10, 2019Updated 6 years ago
- ☆77Mar 11, 2024Updated last year
- A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.☆36Dec 17, 2019Updated 6 years ago
- The current notebook implements a simple disaggregator for deep-nilmtk models compatible with NILMtk.☆11Jan 14, 2023Updated 3 years ago
- This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural …☆40Apr 25, 2020Updated 5 years ago
- An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring☆44Jun 25, 2022Updated 3 years ago
- Non-Intrusive Load Monitoring based on VAE model☆43Apr 19, 2021Updated 4 years ago
- Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monito…☆32Sep 24, 2020Updated 5 years ago
- Easy to implement and customize an end-to-end machine learning pipeline for training the archiecture of seq2point model for energy disagg…☆10Feb 23, 2023Updated 3 years ago
- NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms☆119Jun 26, 2015Updated 10 years ago
- ☆83Jan 20, 2017Updated 9 years ago
- Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resamp…☆40Oct 31, 2024Updated last year
- A new CNN architecture to perform detection, feature extraction, and multi-label classification of loads, in non-intrusive load monitorin…☆41May 25, 2022Updated 3 years ago
- 完成我的毕业论文，顺便记录一下NILM(非侵入式负荷监测)的学习过程，帮助其他研究NILM的中国学生轻松上手☆34Dec 8, 2023Updated 2 years ago
- Overview of research papers with focus on low frequency NILM employing DNNs☆23Sep 1, 2022Updated 3 years ago
- Notebook for Temporal Pooling NILM☆21May 10, 2023Updated 2 years ago
- Deep-NILMtk is an open source package designed specifically for deep models applied to solve NILM. It implements the general NILM pipelin…☆35May 31, 2023Updated 2 years ago
- ☆43May 20, 2023Updated 2 years ago
- Non intrusive load monitoring using machine learning☆21Feb 2, 2018Updated 8 years ago
- ☆56Jan 29, 2018Updated 8 years ago
- Adaptive Recurrence Graph for Appliance classification in NILM.☆20Sep 6, 2020Updated 5 years ago
- ☆12Dec 29, 2020Updated 5 years ago