Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach

标题
Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach
作者
关键词
Building energy retrofit, Building category, Surrogate models, Artificial neural networks, Sensitivity analysis, Office buildings
出版物
ENERGY
Volume 118, Issue -, Pages 999-1017
出版商
Elsevier BV
发表日期
2016-11-06
DOI
10.1016/j.energy.2016.10.126

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