Use of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan-Reference-Cited by-同舟云学术

Use of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan

Published:2011-07-22 Issue:7 Volume:20 Page:874-882
ISSN:1062-7995
Container-title:Progress in Photovoltaics: Research and Applications
language:en
Short-container-title:Prog. Photovolt: Res. Appl.

Author:

da Silva Fonseca Joao Gari¹,Oozeki Takashi¹,Takashima Takumi¹,Koshimizu Gentarou²,Uchida Yoshihisa²,Ogimoto Kazuhiko³

Affiliation:

1. National Institute of Advanced Industrial Science and Technology; Research Center for Photovoltaics Technologies; AIST Tsukuba Central 2 305-8568 Tsukuba Ibaraki Japan

2. Electric Power Development Co., Ltd. (JPOWER); 104-8165 Ginza 6-15-1 Chuo-ku Tokyo Japan

3. Institute of Industrial Science (IIS), Collaborative Research Center for Energy Engineering (CEE); Tokyo University; 153-8505 Komaba 4-6-1 Meguro-ku Tokyo Japan

Funder

Ministry of the Environment, Japan

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pip.1152/fullpdf

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