Short-term photovoltaic prediction by using H filtering and clustering

Yasuhiko Hosoda, Toru Namerikawa

研究成果: Conference contribution

12 被引用数 (Scopus)

抄録

This paper deals with prediction algorithm applying for photovoltaic (PV) systems in smart grid. This prediction is aim to predict the amount of the next day of generation using the previous data and the weather forecast which get from Japan Meteorological Agency. The procedure of prediction consists of two steps, the data processing and the unknown parameters estimation. In the data processing, our proposed method considers the characteristics of PV generation using cluster ensemble. We propose the cluster ensemble based on k-means to choose the groups with a correlation with previous data. In the unknown parameters estimation, we provide the regression model for PV generation and the unknown parameters are estimated via H filtering. The effectiveness of the proposed prediction method is demonstrated through numerical simulations.

本文言語English
ホスト出版物のタイトル2012 Proceedings of SICE Annual Conference, SICE 2012
出版社Society of Instrument and Control Engineers (SICE)
ページ119-124
ページ数6
ISBN(印刷版)9781467322591
出版ステータスPublished - 2012 1 1
イベント2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
継続期間: 2012 8 202012 8 23

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Other

Other2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012
国/地域Japan
CityAkita
Period12/8/2012/8/23

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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