日本太陽エネルギー学会講演論文集
Online ISSN : 2758-478X
2023年度(令和5年度)研究発表会
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セッション:A1 日射量・PV 発電量予測(1)
4 気象衛星画像を用いた日射量の短時間予測技術の高度化
*宇都宮 健志佐々木 潤岡田 牧山口 浩司
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p. 13-14

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We have been developing methods of short-time solar radiation forecast using meteorological satellite imagery. Changes in solar radiation are mainly due to cloud movement up to a few hours ahead, but as the forecast time becomes longer, the effect of cloud formation and dissipation becomes more significant. In weather forecasting, there is always inherent uncertainty, and probabilistic predictions are crucial for assessing risks and making informed decisions. In this study, we report on our efforts to advance solar radiation forecasting technology under the NEDO project regarding the above issues.

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