Abstract
This paper proposes a new load monitoring system of electric appliances based on Hidden Markov Model. Monitoring of electric appliances under operation is expected to lead to understanding needs of power consumers and forecasting power demands in future. When a certain electric appliance runs, the current waveform flowing in it shows specific characteristics. Therefore, it is quite reasonable to pay attention to the pattern of current waveforms for recognition of used electric appliances. In this paper, Hidden Markov Model, which is widely used for the analysis of time series data, is introduced as the recognizer for the current waveforms. The usefulness of the proposed method is verified through some experiments using real measured data.
