H∞ filter-based short-term electric load prediction considering characteristics of load curve

Toru Namerikawa, Yasuhiko Hosoda

研究成果: Article査読

3 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)1446-1453+10
ジャーナルIEEJ Transactions on Electronics, Information and Systems
132
9
DOI
出版ステータスPublished - 2012

ASJC Scopus subject areas

  • 電子工学および電気工学

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