太陽光発電予測手法の開発
キーワード： 深層ニューラルネットワーク, オートエンコーダ、制限付きボルツマンマシン、深層ボルツマンマシン, 一般化ラジアル基底関数ニューラル(GRBFN), 進化的計算, データマイニング, クラスタリング
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Shota Ogawa and Hiroyuki Mori, "PV Output Forecasting by Deep Boltzmann Machines with SS-PPBSO," Electrical Engineering in Japan(Wiley), Vol. 140, No.2, pp.86-93, June 10, 2020.
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Shota Ogawa and Hiroyuki Mori, “Integration of Deep Boltzmann Machine and Generalized Radial Basis Function Network for Photovoltaic Generation Output Forecasting,” IFAC-Papers-OnLine (Elsevier), Vol 53, Issue 2, pp. 12163-12168, Nov. 2020.
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Shota Ogawa and Hiroyuki Mori, “Integration of Deep Boltzmann Machine and Generalized Radial Basis Function Network for Photovoltaic Generation Output Forecasting,” Proc. of IFAC World Congress 2020(Virtual Meeting), 6 pages, Berlin, Germany, July 2020.
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Shota Ogawa and Hiroyuki Mori, “A Gaussian-Gaussian-Restricted-Boltzmann-Machine-Based Deep Neural Network Technique for Photovoltaic System Generation Forecasting,” IFAC PapersOnline, Vol. 52, Issue 4, pp. 87-92, Dec. 2019.
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小川彰太, 森啓之：「 SS-PPBSOによる学習を用いた深層ボルツマンマシンによる太陽光発電出力予測」 電気学会論文誌B, Vol. 140, No.2, pp.86-93 , 電気学会論文誌B, Vol. 139, No. 2, pp.421-427(2020-2）
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Shota Ogawa and Hiroyuki Mori, “A Gaussian-Gaussian-Restricted-Boltzmann-Machine-Based Deep Neural Network Technique for Photovoltaic System Generation Forecasting,” Proc. of IFAC CSGRES 2019, 6 pages, Jeju, South Korea, June 2019.
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H. Mori and M. Takahashi, "Application of Graphical Modeling to Selecting Input Variables for Solar Radiation Forecasting,” Proc. of IFAC CPES2015,(CD-ROM), 6 pages, New Delhi, India, Dec. 2015.
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Masato Takahashi and Hiroyuki Mori, “A Hybrid Intelligent System Approach to Forecasting of PV Generation Output, " Journal of International Council on Electrical Engineering (Taylor & Francis Online Journal), Vol. 3, No.4, pp. 295-299, Oct. 2013.
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Masato Takahashi and Hiroyuki Mori, ”Input Variable Selection of Solar Radiation Forecasting with Graphical Modeling,” Proc. of ISAP2013 (6 pages), Tokyo, Japan, July 2013.
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高橋政人, 森啓之：「EPSOを用いたGRBFNによる太陽光発電出力予測」, 電気学会論文誌B, Vol. 133, No.1, pp. 72-78 (2013-1).
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H. Mori and M. Takahashi, “Application of Preconditioned Generalized Radial Basis Function Network to Prediction of Photovoltaic Power Generation,” Proc. of IEEE PES ISGT Europe 2012, 6 pages, Berlin, Germany, Oct. 2012.
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M. Takahashi and H. Mori, “A Hybrid Intelligent System Approach to Forecasting of PV Generation Output,” Proc. of ICEE 2012 (CD-ROM), Program # RE2-3, 4 pages, Kanazawa, Japan, July 2012.
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H. Mori and M. Takahashi, “A Prediction Method for Photovoltaic Power Generation with Advanced Radial Basis Function Network,” Proc. of IEEE PES ISGT ASIA 2012, 6 pages, Tianjin, China, May 2012.
