energy-disaggregation

JackKelly/neuralnilm

Deep Neural Networks Applied to Energy Disaggregation

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

goruck/nilm

Energy Management Using Real-Time Non-Intrusive Load Monitoring

JackKelly/neuralnilm_prototype

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.

louisyuzhe/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

loneharoon/GSP_energy_disaggregator

This contains the energy disaggregation code based on Graph Signal Processing approach

klemenjak/SynD

A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring

mukkla/LowFreq_DNN-NILM

Overview of research papers with focus on low frequency NILM employing DNNs

jonathanrjpereira/Smart-Energy-Monitor

🔌 Load Monitoring and Energy Disaggregation on a RasPi

ihomelab/dnn4nilm_overview

Overview of NILM works employing Deep Neural Networks on low frequency data

klemenjak/YoMoPie

A User-Oriented Energy Monitor to Enhance Energy Efficiency in Households

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

kbodurri/NILM

Code for our MPS 2019 paper entitled "A Machine Learning Approach for NILM based on Odd Harmonic Current Vectors"

klemenjak/comparability

Supplemental material on comparability and performance evaluation in NILM

JackKelly/BuildSys_2015_NeuralNILM

Presentation of Neural NILM for BuildSys 2015 conference in November 2015

AriasSilva/DEPS_NILM_Dataset

DEPS: Dataset de la Escuela Politénica Superior

bhushan23/SmartOff

Machine Learning and Internet of Things approach for turning off appliances when not used for saving power consumption.

klemenjak/nilm-transferability-metrics

Metrics 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

EEE17A/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.

gokulshriyam/Minion

Minion - World's Smallest AI Energy Auditor

JackKelly/EFL_talk

To view this presentation in your browser, go to:

JackKelly/NILM_Workshop_talk_2016

Slides for my talk on "Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature"

Vishalks/SBU-AMS-559.01-Smart-Energy-in-the-Information-Age

This repository contains assignments and project work related to the course

caroai/DeepNILM

Deep Neural Networks for Nonintrusive Load Monitoring (Energy Disaggregation)

daniel-carreira/smart-energy-monitoring

Smart home-IoT ecosystem for Active Ambient Assisted Living

gjwo/nilm_metadata

A schema for modelling meters, measurements, appliances, buildings etc

klemenjak/antgen

The AMBAL-based NILM Trace generator (for NILMTK)