主催: 公益社団法人 空気調和・衛生工学会
会議名: 令和２年度空気調和・衛生工学会大会（オンライン）
開催地: オンライン
開催日: 2020/09/09 - 2020/09/30
In order to grasp electricity consumption of multiple buildings easily, the 65 buildings on campus were classified based on the electricity consumption pattern using Clustering. And then, for the automation of understanding the consumption characteristics, It was examined whether the result of pattern classification can be accountable by using Random forest. As a result, the relationship between pattern classification and the feature amount can be observed in humanities facilities.
