A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
☆133Nov 10, 2024Updated last year
Alternatives and similar repositories for awesome-NILM-with-code
Users that are interested in awesome-NILM-with-code are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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
- ☆77Mar 11, 2024Updated 2 years ago
- [NILM@SenSys 2020] PyTorch Implementation of BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring☆81Dec 5, 2020Updated 5 years ago
- 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
- ☆60Apr 19, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A curated resources of awesome NILM resources☆214Apr 15, 2024Updated last year
- The current notebook implements a simple disaggregator for deep-nilmtk models compatible with NILMtk.☆11Jan 14, 2023Updated 3 years ago
- ☆12Jul 30, 2024Updated last year
- 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
- Energy Management Using Real-Time Non-Intrusive Load Monitoring☆93Sep 8, 2025Updated 6 months ago
- In this repository are available codes in python for implementation of classification of loads and event detection using PLAID dataset☆28Jun 14, 2022Updated 3 years ago
- This package contains codes for the paper Multi-label Learning for Appliances Recognition in NILM using Fryze-Current Decomposition and C…☆10Dec 29, 2022Updated 3 years ago
- ☆27Nov 21, 2020Updated 5 years ago
- Multi-NILM: Multi Label Non Intrusive Load Monitoring☆72May 21, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Seq2subseq method for NILM☆44Nov 13, 2019Updated 6 years ago
- Adaptive Recurrence Graph for Appliance classification in NILM.☆20Sep 6, 2020Updated 5 years ago
- Sequence-to-point learning for non-intrusive load monitoring☆112Jun 28, 2020Updated 5 years ago
- ☆137Jun 30, 2025Updated 8 months ago
- 非侵入式负荷检测,一个很水的毕设☆21May 16, 2020Updated 5 years ago
- GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)☆26Jul 19, 2021Updated 4 years ago
- ST-NILM is a new integrated architecture based on the Scattering Transform. It has a DCN (Deep Convolutional Network) with analytical wav…☆12Mar 2, 2024Updated 2 years ago
- Deep Neural Networks Applied to Energy Disaggregation☆159Mar 18, 2019Updated 7 years ago
- IPython Notebook to explore PLAID dataset☆36Jun 17, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resamp…☆41Oct 31, 2024Updated last year
- ☆10Nov 10, 2017Updated 8 years ago
- Overview of NILM works employing Deep Neural Networks on low frequency data☆14Apr 23, 2021Updated 4 years ago
- Multi-appliance-task Non-intrusive Load Monitoring with Limited Labeled Data☆22Sep 4, 2023Updated 2 years ago
- Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profile…☆27Nov 18, 2021Updated 4 years ago
- An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring☆44Jun 25, 2022Updated 3 years ago
- ☆12Dec 29, 2020Updated 5 years ago
- Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"☆62Jun 27, 2020Updated 5 years ago
- Overview of research papers with focus on low frequency NILM employing DNNs☆23Sep 1, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Non-Intrusive Load Monitoring Toolkit (nilmtk)☆925Nov 24, 2025Updated 4 months ago
- Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.☆143Apr 20, 2021Updated 4 years ago
- Transfer Learning for Non-Intrusive Load Monitoring☆131Jul 5, 2020Updated 5 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
- A schema for modelling meters, measurements, appliances, buildings etc☆53Jul 11, 2025Updated 8 months ago
- The ENERTALK Dataset, 15 Hz Electricity Consumption Data from 22 Houses in Korea☆25Dec 8, 2022Updated 3 years ago
- Sequence-to-point learning for non-intrusive load monitoring (energy disaggregation)☆78Jul 2, 2020Updated 5 years ago