A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.
☆36Dec 17, 2019Updated 6 years ago
Alternatives and similar repositories for nnilm
Users that are interested in nnilm are comparing it to the libraries listed below
Sorting:
- ☆10Jul 31, 2017Updated 8 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
- Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.☆143Apr 20, 2021Updated 4 years ago
- 非侵入式负荷检测，一个很水的毕设☆20May 16, 2020Updated 5 years ago
- Transfer Learning for Non-Intrusive Load Monitoring☆131Jul 5, 2020Updated 5 years ago
- Repo for am207 final project☆13May 6, 2016Updated 9 years ago
- Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"☆62Jun 27, 2020Updated 5 years ago
- A curated resources of awesome NILM resources☆210Apr 15, 2024Updated last year
- Deep Neural Networks Applied to Energy Disaggregation☆159Mar 18, 2019Updated 6 years ago
- Non-Intrusive Load Monitoring based on VAE model☆43Apr 19, 2021Updated 4 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
- Electrical Devices Identification Model (EDIM) for the identification of electrical devices by analyzing their energy consumption profile…☆27Nov 18, 2021Updated 4 years ago
- An archive for NILM papers with source code and other supplemental material☆140Jan 19, 2024Updated 2 years ago
- GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)☆26Jul 19, 2021Updated 4 years ago
- ☆56Jan 29, 2018Updated 8 years ago
- Codes to extract features from the V-I trajectory for the classification step in Non-Intrusive Load Monitoring (NILM) approaches.☆19Jan 25, 2022Updated 4 years ago
- Multi-NILM: Multi Label Non Intrusive Load Monitoring☆72May 21, 2020Updated 5 years ago
- ☆60Apr 19, 2021Updated 4 years ago
- Non-Intrusive Appliance Load Monitoring (NILM) based on Convolutional Neural Networks for PyTorch☆11Sep 5, 2020Updated 5 years ago
- Notebook for Temporal Pooling NILM☆21May 10, 2023Updated 2 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
- Helps to easily setup an advanced IoT environment for your home.☆15Oct 4, 2019Updated 6 years ago
- elliptical fourier descriptors with and without lobe contributions☆13Sep 15, 2020Updated 5 years ago
- ☆83Jan 20, 2017Updated 9 years ago
- Smart meter load disaggregation with Hidden Markov Models☆71Nov 27, 2020Updated 5 years ago
- Autokeras Tabular extension☆16Jul 15, 2019Updated 6 years ago
- TYPO3 CMS extension that provides various Fluid ViewHelpers to generate PDF documents.☆44May 23, 2025Updated 9 months ago
- [ACM e-Energy23] Appliance Detection Using Very Low Frequency Smart Meters Time Series☆21Sep 29, 2025Updated 5 months ago
- Visual Push is a video sampler which connects to the Ableton Push 2 device.☆18Nov 13, 2020Updated 5 years ago
- A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring☆32Apr 7, 2020Updated 5 years ago
- CARMA Streets is a component of CARMA ecosystem, which enables such a coordination among different transportation users. This component p…☆11Aug 21, 2025Updated 6 months 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
- The GitHub repository for the paper "Denoising Application of Magnetotelluric Low-Frequency Signal Processing"☆11Feb 22, 2023Updated 3 years ago
- HISDF (Human Instance, Skeleton, and Depth Fusion) is a unified model that fuses human instance segmentation, skeletal structure estimati…☆16Oct 17, 2025Updated 4 months ago
- 本设计为基于MATLAB的火焰烟雾火灾检测系统。传统的采用颜色的方法，误识别大，局限性强。结合火焰是实时动态跳跃的，采用面积增长率，角点和圆形度三个维度相结合的方式判断是否有火焰。该设计测试对象为视频，通过下一帧和上一帧的差异发现是否有火情，并可发出语音报警。本设计带有一个…☆12Oct 13, 2021Updated 4 years ago
- ☆10Mar 21, 2024Updated last year
- ☆15Feb 10, 2025Updated last year
- GPS software using open street maps. Draw tracks, waypoints. Can find actual position.☆11Jun 1, 2011Updated 14 years ago