This paper deals with H∞ filter-based short-term electric load prediction considering characteristics of load curve. We propose a predictive method to forecast a future electric load demand for 36 hours from 0 PM, and then evaluate the peak and bottom of load curves in the next day. We propose a load model, estimates unknown parameters of model via H∞ filter using the separated data from holiday and weekday, a same pattern of the previous data have been chosen and assigned to parameters for the model. The simulation results show the effectiveness of the proposed prediction methodology.
|ジャーナル||IEEJ Transactions on Electronics, Information and Systems|
|出版ステータス||Published - 2012|
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