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
In order to estimate baseline of building energy consumption with high precision, the electricity consumption of the 63 buildings in a university campus were estimated by using a variety of predicting methods. As a result of analysis, most buildings showed that machine learning perform a highly precise baseline estimation on a daily and a monthly basis compared with previous methods.