energy-disaggregation
There are 14 repositories under energy-disaggregation topic.
- Language:Python 791
JackKelly / neuralnilm
Deep Neural Networks Applied to Energy Disaggregation
Language:Python 145- nilm-papers-with-code
klemenjak / nilm-papers-with-code
An archive for NILM papers with source code and other supplemental material
zhgqcn / awesome-NILM-with-code
A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
ChristoferNal / multi-nilm
Multi-NILM: Multi Label Non Intrusive Load Monitoring
Language:Python 59- Language:Jupyter Notebook 50
- Language:Python 44
JackBarber98 / pruned-nilm
This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.
Language:Python 31louisyuzhe / MachineLearning_NILM
Undergraduate research by Yuzhe Lim in Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation
Language:Jupyter Notebook 31loneharoon / GSP_energy_disaggregator
This contains the energy disaggregation code based on Graph Signal Processing approach
Language:Python 26mukkla / LowFreq_DNN-NILM
Overview of research papers with focus on low frequency NILM employing DNNs
- SynD
jonathanrjpereira / Smart-Energy-Monitor
🔌 Load Monitoring and Energy Disaggregation on a RasPi
Language:Python 21ihomelab / dnn4nilm_overview
Overview of NILM works employing Deep Neural Networks on low frequency data
Language:Jupyter Notebook 12- Language:Python 12
- MORED
MOREDataset / MORED
A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).
gjwo / nilm_gjw_data
Non Intrusive Load Monitoring data repository and data converter for NILMTK
Language:Jupyter Notebook 8kbodurri / NILM
Code for our MPS 2019 paper entitled "A Machine Learning Approach for NILM based on Odd Harmonic Current Vectors"
Language:Jupyter Notebook 8Supplemental material on comparability and performance evaluation in NILM
Language:Jupyter Notebook 8Presentation of Neural NILM for BuildSys 2015 conference in November 2015
Language:HTML 7- DEPS_NILM_Dataset
AriasSilva / DEPS_NILM_Dataset
DEPS: Dataset de la Escuela Politénica Superior
Language:HTML 6 bhushan23 / SmartOff
Machine Learning and Internet of Things approach for turning off appliances when not used for saving power consumption.
Language:Jupyter Notebook 5Metrics to assess the generalisation ability of NILM algorithms
Vishalks / Energy-Disaggregation-and-Transfer-Learning-using-Deep-Learning
This repository contains my implementation for Energy Disaggregation of appliances from mains consumption using stacked ensemble deep learning
Language:Jupyter Notebook 3EEE17A / DNN-for-NILM
In this project, we've tried applying various DNNs to the problem of non-intrusive load monitoring (NILM) and compared their results for various appliances using the REDD dataset. We took a sliding window approach in hopes that we'll be able to achieve real time disaggregation with further tuning and testing. We compare the disaggregated energy consumption results based on MSE, MAE, Relative Error and F1 Score.
Language:Jupyter Notebook 2gokulshriyam / Minion
Minion - World's Smallest AI Energy Auditor
Language:Jupyter Notebook 2- Language:HTML 1
Slides for my talk on "Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature"
Language:HTML 1This repository contains assignments and project work related to the course
Language:Jupyter Notebook 0daniel-carreira / smart-energy-monitoring
Smart home-IoT ecosystem for Active Ambient Assisted Living
Language:PHPA schema for modelling meters, measurements, appliances, buildings etc
Language:Python- Language:Python
