電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<ソフトコンピューティング・学習>
セマンティックセグメンテーションによるパネル画像からの積雪率推定手法の検討
西田 義人泉井 良夫鈴木 啓太夏梅 大輔田畑 浩数
著者情報
ジャーナル 認証あり

2023 年 143 巻 9 号 p. 985-992

詳細
抄録

In previous research, we estimated snow cover rate on the panel from panel image for the purpose of improving the prediction accuracy of the PV power considering the effect of the snow accumulation on the panel in the snowfall area. A method to predict the quantity was proposed. However, in previous research, the snow cover rate was estimated by dividing it into 11 categories from 0% to 100% in increments of 10%. There is a question as to whether or not it is possible, and we think that estimating with even finer granularity will lead to further improvement in the prediction accuracy of PV power. We will compare and evaluate the prediction of PV power generation using the snow cover rate predicted from panel image with related research and confirm the effectiveness of the proposed method.

著者関連情報
© 2023 電気学会
前の記事 次の記事
feedback
Top