主催: 公益社団法人 空気調和・衛生工学会
会議名: 令和3年度空気調和・衛生工学会大会(福島)
開催地: 福島
開催日: 2021/09/15 - 2021/09/17
This paper uses graph neural network and long and short-term memory network to predict solar radiation hourly. The solar radiation prediction model can be used as the basis for the future optimization and model predictive control of real building energy system of Takasago Innovation Centers (TICs)