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Data analytics for simplifying thermal efficiency planning in cities.

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第一作者： Mohammad Javad,Abdolhosseini Qomi

第一单位： Department of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA 92617, USA.

作者： Mohammad Javad,Abdolhosseini Qomi ^[1] ; Arash,Noshadravan ^[2] ; Jake M,Sobstyl ^[3] ; Jameson,Toole ^[4] ; Joseph,Ferreira ^[5] ; Roland J-M,Pellenq ^[6] ; Franz-Josef,Ulm ^[7] ; Marta C,Gonzalez ^[8]

作者单位： Department of Civil and Environmental Engineering, University of California at Irvine, Irvine, CA 92617, USA. ^[1] Zachary Department of Civil Engineering, Texas A&M University, TX 77843, USA. ^[2] Department of Civil and Environmental Engineering, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. ^[3] Engineering Systems Division, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. ^[4] Department of Urban Studies and Planning, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. ^[5] Department of Civil and Environmental Engineering, 77 Massachusetts Avenue, Cambridge, MA 02139, USA MSE2 MIT-CNRS Joint Laboratory, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA Centre Interdisciplinaire des Nanosciences de Marseille, CNRS and Marseille Université, Campus de Luminy, Marseille, 13288 Cedex 09, France. ^[6] Department of Civil and Environmental Engineering, 77 Massachusetts Avenue, Cambridge, MA 02139, USA Department of Urban Studies and Planning, 77 Massachusetts Avenue, Cambridge, MA 02139, USA. ^[7] Department of Civil and Environmental Engineering, 77 Massachusetts Avenue, Cambridge, MA 02139, USA Engineering Systems Division, 77 Massachusetts Avenue, Cambridge, MA 02139, USA martag@mit.edu. ^[8]

关键词 massive–passive data analytics probabilistic model reduction response surface methodology strategic gas consumption planning

医学主题词能源保护(Conservation of Energy Resources);热温度(Hot Temperature);马萨诸塞(Massachusetts);模型, 理论(Models, Theoretical);城市重建(Urban Renewal)

DOI 10.1098/rsif.2015.0971

PMID 27097652

发布时间 2024-03-27

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