A schema for modelling meters, measurements, appliances, buildings etc
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Updated
Jun 1, 2015 - Python
A schema for modelling meters, measurements, appliances, buildings etc
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Slides for my talk on "Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature"
Presentation of Neural NILM for BuildSys 2015 conference in November 2015
Non Intrusive Load Monitoring data repository and data converter for NILMTK
Minion - World's Smallest AI Energy Auditor
Deep Neural Networks for Nonintrusive Load Monitoring (Energy Disaggregation)
Machine Learning and Internet of Things approach for turning off appliances when not used for saving power consumption.
A User-Oriented Energy Monitor to Enhance Energy Efficiency in Households
Deep Neural Networks Applied to Energy Disaggregation
Code for our MPS 2019 paper entitled "A Machine Learning Approach for NILM based on Odd Harmonic Current Vectors"
Supplemental material on comparability and performance evaluation in NILM
Metrics to assess the generalisation ability of NILM algorithms
🔌 Load Monitoring and Energy Disaggregation on a RasPi
A Synthetic Energy Consumption Dataset for Non-Intrusive Load Monitoring
This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.
This repository contains my implementation for Energy Disaggregation of appliances from mains consumption using stacked ensemble deep learning
This repository contains assignments and project work related to the course
Multi-NILM: Multi Label Non Intrusive Load Monitoring
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