Machine Learning (ML) as a surrogate model for early-stage energy optimization
Paper in proceeding, 2024
architecture design variables
early design
Machine learning
artificial intelligence
Author
Xinyue Wang
Chalmers, Architecture and Civil Engineering, Building Technology
Josie Harrison
Chalmers, Architecture and Civil Engineering, Building Technology
Robin Teigland
Chalmers, Technology Management and Economics, Entrepreneurship and Strategy
Alexander Hollberg
Chalmers, Architecture and Civil Engineering, Building Technology
SimBuild Conference Proceedings
0000-0000 (ISSN)
Vol. 11Denver, USA,
Mainstreaming holistic life cycle performance optimisation in early design stages of buildings
Swedish Energy Agency (51715-1), 2021-01-01 -- 2024-12-31.
Stakeholder-specific environmental and economic optimization of buildings in early design stages
Formas (2020-00934), 2021-01-01 -- 2024-12-31.
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Energy Engineering
Computational Mathematics
Transport Systems and Logistics
Computer Science
Areas of Advance
Information and Communication Technology