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J-GLOBAL ID:201402222992361195   Reference number:14A1213574

A Prediction Method for Daily Photovoltaic Power Generation based on Datamining

データマイニングに基づく毎日の太陽光発電の発電電力予測手法
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Volume: 134  Issue: 10  Page: 849-855 (J-STAGE)  Publication year: 2014 
JST Material Number: S0809A  ISSN: 0385-4213  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Solar photovoltaic generation 
Reference (30):
  • (1) T. Oozeki, T. Kato, and K. Ogimoto: “Current status of output forecasting for photovoltainc systems”, The Papers of Technical Meeting on Metabolism Society and Environmental Systems, IEE Japan, Vol. 2011, No. 1, pp. 19-24 (2011) (in Japanese)
  • 大関 崇・加藤丈佳・荻本和彦:「太陽光発電の発電量予測の現状と課題」, 電気学会研究会資料, MES, メタボリズム社会・環境システム研資, Vol. 2011, No. 1, pp. 19-24 (2011)
  • (2) S. Yamamoto, T. Katagi, J. Park, T. Hashimoto, and T. Hishimoto: “A basic study to forecast the power fluctuation of the photovoltaic power generation by image processing of clouds”, T. IEE Japan, Vol. 119-B, No. 8, pp. 909-915 (1999) (in Japanese)
  • 山本茂広・片木 威・朴 在植・橋本 武・橋本 岳:「雲の画像解析による太陽光発電の発電電力変動予測に関する基礎的研究」, 電学論B, Vol. 119, No. 8, pp. 909-915 (1999)
  • (3) T. Shimada and K. Kurokawa: “Insolation Forecasting Using Weather Forecast with Weather Change Patterns”, IEEJ Trans. PE, Vol. 127, No. 11, pp. 1219-1225 (2007) (in Japanese)
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