학술논문

A Research on Snow Cover Rate Estimation Method from Panel Images using Semantic Segmentation / 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
Document Type
Journal Article
Source
電気学会論文誌C(電子・情報・システム部門誌) / IEEJ Transactions on Electronics, Information and Systems. 2023, 143(9):985
Subject
deep learning
panel image
photovoltaic power prediction
semantic segmentation
snow cover rate estimation
snowfall area
セマンティックセグメンテーション
パネル画像
太陽光発電量予測
深層学習
積雪率推定
降雪地域
Language
Japanese
ISSN
0385-4221
1348-8155
Abstract
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.