Short-term photovoltaic prediction by using H filtering and clustering

Yasuhiko Hosoda, Toru Namerikawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages119-124
Number of pages6
Publication statusPublished - 2012
Event2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012 - Akita, Japan
Duration: 2012 Aug 202012 Aug 23

Other

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

Fingerprint

Parameter estimation
Computer simulation

Keywords

  • Clustering
  • Estimation
  • H Filtering
  • k-means
  • Prediction
  • PV
  • Short-term
  • Smart Grid

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Hosoda, Y., & Namerikawa, T. (2012). Short-term photovoltaic prediction by using H filtering and clustering. In Proceedings of the SICE Annual Conference (pp. 119-124). [6318419]

Short-term photovoltaic prediction by using H filtering and clustering. / Hosoda, Yasuhiko; Namerikawa, Toru.

Proceedings of the SICE Annual Conference. 2012. p. 119-124 6318419.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hosoda, Y & Namerikawa, T 2012, Short-term photovoltaic prediction by using H filtering and clustering. in Proceedings of the SICE Annual Conference., 6318419, pp. 119-124, 2012 51st Annual Conference on of the Society of Instrument and Control Engineers of Japan, SICE 2012, Akita, Japan, 12/8/20.
Hosoda Y, Namerikawa T. Short-term photovoltaic prediction by using H filtering and clustering. In Proceedings of the SICE Annual Conference. 2012. p. 119-124. 6318419
Hosoda, Yasuhiko ; Namerikawa, Toru. / Short-term photovoltaic prediction by using H filtering and clustering. Proceedings of the SICE Annual Conference. 2012. pp. 119-124
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