Limitations and issues of conventional artificial neural network-based surrogate models for building energy retrofit
Author(s): |
Chul-Hong Park
(Department of Architecture and Architectural Engineering, College of Engineering, Seoul National University, Seoul, South Korea)
Cheol Soo Park (Department of Architecture and Architectural Engineering, Institute of Construction and Environmental Engineering, Institute of Engineering Research, College of Engineering, Seoul National University, Seoul, South Korea) |
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Medium: | journal article |
Language(s): | English |
Published in: | Journal of Building Performance Simulation, October 2023, n. 3, v. 17 |
Page(s): | 1-10 |
DOI: | 10.1080/19401493.2023.2282078 |
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data sheet - Reference-ID
10755609 - Published on:
14/01/2024 - Last updated on:
24/04/2024