LatentBayesianMelding
Latent Bayesian melding for non-intrusive load monitoring (energy disaggregation)
Install / Use
/learn @MingjunZhong/LatentBayesianMeldingREADME
This repository provides an easy to use working implementation of Latent Bayesian Melding for NILM (energy disaggregation). For more details refer to our NIPS 2015 paper: Latent Bayesian melding for integrating individual and population models (http://papers.nips.cc/paper/5756-latent-bayesian-melding-for-integrating-individual-and-population-models; or http://arxiv.org/abs/1510.09130).
Requirements
Mosek academic license (free)
I found that the following Mosek version works: mosek-7.1.15-py2.7. I have tried higher versions, but it did not work.
To install Mosek, fully follow the instruction from here: http://docs.mosek.com/7.1/toolsinstall/Linux_UNIX_installation_instructions.html.
You can find the Mosek package in this repository, but you need a license to use it.
How to implement the algorithm
Just run the script: demo_latentBayesianMelding.py
Contact
Contact: You may contact the first author at: mingjun.zhong@gmail.com or mzhong@lincoln.ac.uk
