A Comparative Study on the Performance of Hidden Markov Model in Appliance Modeling

Hebatullah M. Malik,Nema Salem,Maha S. AlSabban

2021 5th International Conference on Power and Energy Engineering (ICPEE)（2021）

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摘要

Load modeling using data-driven algorithms is a widely used technique in applications like load identification. It is also one of the fundamental concepts which enable Non-Intrusive Appliance Load Modeling (NIALM). This paper develops a load modeling framework using Hidden Markov Models (HMMs) to identify a two-state home appliance. Unlike previous studies, the training and testing dataset is deri...

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关键词

Training,Home appliances,Adaptation models,Analytical models,Viterbi algorithm,Hidden Markov models,Training data

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