著者

田岡 久雄

出版者

一般社団法人 電気学会

雑誌

電気学会誌 (ISSN:13405551)

巻号頁・発行日

vol.140, no.1, pp.18-19, 2020

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<p>1.はじめに</p><p>原島文雄氏は,ロボット工学,制御工学,電気工学分野の研究の第一人者として,国内外を問わず第一線にて活躍されるとともに,東京都立科学技術大学,東京電機大学,首都大学東京の学長を歴任された。</p><p>2.聞き取りの概要</p><p>2.1 生い立ち</p><p>原島文雄氏は1940年東京都に生まれ,生後間もなく,</p>

著者

川﨑 章司 田岡 久雄 長尾 泰気 大中 奎佑

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌B(電力・エネルギー部門誌) (ISSN:03854213)

巻号頁・発行日

vol.135, no.2, pp.89-96, 2015 (Released:2015-02-01)

参考文献数

28

被引用文献数

1

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Renewable energy sources such as photovoltaic generation (PV) have been promoted to be innovated. However, the output of PV is influenced by the weather condition and cause a steep fluctuation. So it is important to forecast the output of PV when an electric power company makes the power supply schedule for demand. In this paper, the authors proposed a forecasting method for amount of insolation closely related to the output of PV. In the proposed method, the amount of insolation is forecasted through the application of Genetic Algorithm which is one of the optimization method by using the past measured data. In addition, the correlation coefficients are analyzed with the weather data and measured insolation data. And, the correlation coefficients are used as the weight of observe value. The authors verify the validity and prediction accuracy of the proposed method. Moreover, we tried to improve the forecasting error by using the latest measured weather data and weather data of the other point.