Deep-NILMtk is an open source package designed specifically for deep models applied to solve NILM. It implements the general NILM pipeline independently of the deep learning backend. In its current version the toolkit considers two of the most popular deep learning pipelines. The training and testing phases are fully compatible with NILMtk. Seve…
☆35May 31, 2023Updated 3 years ago
Alternatives and similar repositories for deep-nilmtk-v1
Users that are interested in deep-nilmtk-v1 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Easy to implement and customize an end-to-end machine learning pipeline for training the archiecture of seq2point model for energy disagg…☆12Feb 23, 2023Updated 3 years ago
- Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resamp…☆42Oct 31, 2024Updated last year
- BaseNILM is a tool for solving the energy dissagregation problem. It aims to give a baseline systems for both new and experience research…☆30Jun 21, 2025Updated 11 months ago
- ☆78Mar 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
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.☆141Nov 10, 2024Updated last year
- Energy Management Using Real-Time Non-Intrusive Load Monitoring☆96Sep 8, 2025Updated 9 months ago
- Notebook for Temporal Pooling NILM☆21May 10, 2023Updated 3 years ago
- ☆13Dec 29, 2020Updated 5 years ago
- ☆61Apr 19, 2021Updated 5 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☆35Dec 8, 2023Updated 2 years ago
- Neural nilm python 3.3☆13Mar 1, 2021Updated 5 years ago
- ☆12Jul 30, 2024Updated last year
- GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)☆26Jul 19, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Overview of research papers with focus on low frequency NILM employing DNNs☆23Sep 1, 2022Updated 3 years ago
- A new CNN architecture to perform detection, feature extraction, and multi-label classification of loads, in non-intrusive load monitorin…☆40May 25, 2022Updated 4 years ago
- ☆15Mar 15, 2021Updated 5 years ago
- ☆24May 12, 2020Updated 6 years ago
- ☆14Dec 7, 2023Updated 2 years ago
- Adaptive Recurrence Graph for Appliance classification in NILM.☆19Sep 6, 2020Updated 5 years ago
- Deep Neural Networks Applied to Energy Disaggregation☆160Mar 18, 2019Updated 7 years ago
- A curated resources of awesome NILM resources☆214Apr 15, 2024Updated 2 years ago
- Sequence-to-point learning for non-intrusive load monitoring☆117Jun 28, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Non Intrusive Load Monitoring based on Graph Neural Networks and Representation Learning☆11Oct 18, 2022Updated 3 years ago
- Multi-NILM: Multi Label Non Intrusive Load Monitoring☆72May 21, 2020Updated 6 years ago
- Mixed-Integer Nonlinear Programming for NILM☆10Jun 25, 2022Updated 3 years ago
- ☆57Jan 29, 2018Updated 8 years ago
- An archive for NILM papers with source code and other supplemental material☆144Jan 19, 2024Updated 2 years ago
- Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monito…☆31Sep 24, 2020Updated 5 years ago
- Qatar university dataset (QUD) is an open access repository, which includes micro-moments power consumption footprints of different appli…☆12Apr 11, 2022Updated 4 years ago
- [ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series☆21Sep 29, 2025Updated 8 months ago
- Non-Intrusive Load Monitoring based on VAE model☆43Apr 19, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring☆44Jun 25, 2022Updated 3 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 NILM works employing Deep Neural Networks on low frequency data☆14Apr 23, 2021Updated 5 years ago
- This code uses federated learning to forecast electrical power consumption of households while protecting data privacy.☆12Mar 9, 2024Updated 2 years ago
- ☆28Nov 21, 2020Updated 5 years ago
- Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profile…☆25Nov 18, 2021Updated 4 years ago
- NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms☆119Jun 26, 2015Updated 10 years ago