Today I'm releasing the code I wrote for the experiments in my thesis. The code includes an implementation of a Bayesian hidden Markov model, and its application to various appliance modelling tasks. The implementation is in C# and uses the Infer.NET framework for Bayesian inference. The input data I used came from the Tracebase and REDD data sets, and therefore I have not included it in the code release. As a result, I think the BayesianHMM class is probably the most useful to the community.
The code can be found via a link on my publications page.
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