Application of machine learning-based BIM in green public building design
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08162-4.pdf
Reference18 articles.
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2. Ascione F, Bianco N, Mauro GM, Napolitano DF (2019) Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. application to different Italian climatic zones. Energy 174:359–374
3. Baek SG (2021) Plan for the sustainability of public buildings through the energy efficiency certification system: case study of public sports facilities, Korea. Buildings 11(12):589
4. Bennett J, Iossa E (2006) Building and managing facilities for public services. J Public Econ 90(10–11):2143–2160
5. Elshafei G, Vilčeková S, Zeleňáková M, Negm AM (2021) An extensive study for a wide utilization of green architecture parameters in built environment based on genetic schemes. Buildings 11(11):507
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1. Machine Learning-Based Predictive Models for Energy Consumption Estimation in Energy-Efficient Building Envelope Design;Lecture Notes in Civil Engineering;2023-12-12
2. Artificial Intelligence Methods for the Construction and Management of Buildings;Sensors;2023-10-26
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