Real-time load disaggregation algorithm using particle-based distribution truncation with state occupancy model

A new particle-based distribution truncation method with a duration-dependent hidden semi-Markov model for non-intrusive appliance load monitoring is presented. Unlike earlier works, the approach keeps track of a set of states without prematurely pruning away intermediately ranked states. It also enables appliance state duration characteristics to be incorporated in a straightforward manner. Results show that the approach outperforms both the Viterbi algorithm and conventional particle-filtering methods.