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 building stock modeling, several methodologies have been developed to quantitatively improve the robustness and complexity of building stock but, often have limitations to involve differentiated description of building stock. This paper presents a geo-spatial methodology to develop data-driven archetypes of commercial buildings to assess the overall composition and characterization of building stock.