Thermal comfort prediction in a building category: Artificial neural network generation from calibrated models for a social housing stock in southern Europe

标题
Thermal comfort prediction in a building category: Artificial neural network generation from calibrated models for a social housing stock in southern Europe
作者
关键词
Social housing stock, Thermal comfort, Building performance simulation, Sensitivity analysis, Simulation model calibration, Surrogate models
出版物
APPLIED THERMAL ENGINEERING
Volume 150, Issue -, Pages 492-505
出版商
Elsevier BV
发表日期
2019-01-09
DOI
10.1016/j.applthermaleng.2019.01.013

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