<i>H</i><sub>∞</sub> Filter-based Short-term Electric Load Prediction considering Characteristics of Load Curve-Reference-Cited by-同舟云学术

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H_∞ Filter-based Short-term Electric Load Prediction considering Characteristics of Load Curve

Published:2012 Issue:9 Volume:132 Page:1446-1453
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Namerikawa Toru¹,Hosoda Yasuhiko¹

Affiliation:

1. Faculty of Science and Technology, Keio University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/132/9/132_1446/_pdf

Reference25 articles.

1. (3) T. Onoda: “AI Technology in Next Day Electric Peak Load Forecast”, Japanese Society Artificial Intelligence, Vol. 12, No. 4, pp. 550-558 (1997) (in Japanese)

2. (4) O. Ishioka, Y. Sato, T. Ishihara, Y. Ueki, T. Matsui, and T. Iizaka: “Development of Electric Load Forecasting System using Neural Networks”, IEEJ Trans B, Vol. 120, No. 12, pp. 1550-1557 (2000) (in Japanese)

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