主催: 一般社団法人日本太陽エネルギー学会
会議名: 2025年度(令和7年度)研究発表会
開催地: 明治大学 駿河台キャンパス リバティータワー
開催日: 2025/11/02 - 2025/11/03
p. 9-10
We have been developing a solar power generation forecasting system based on ground observations. This system calculates power generation using an ANN that incorporates observed and predicted data as input. Previous ANN models used one-minute interval data and humidity as inputs. However, in reality, measurement intervals are longer, and humidity is not measured. Therefore, this study investigated whether an ANN model adapted to these conditions is effective.