Utilizing Artificial Intelligence (AI) for the optimal design of geothermal cogeneration systems in zero energy building
Download
Results in Engineering.pdf
- Published Version
(21MB)
| Preview
Available under license: Creative Commons Attribution
Export
Assareh, Ehsanolah, Zoghi, Mohammad, Zare, Ali, Bazazzadeh, Hassan ORCID: 0000-0001-7954-7209, Alboghobeysh, Adnan, Mobayen, Saleh, Izadyar, Nima
ORCID: 0000-0002-2487-5915 and Hoseinzadeh, Siamak
(2025)
Utilizing Artificial Intelligence (AI) for the optimal design of geothermal cogeneration systems in zero energy building.
Results in Engineering, 26.
ISSN 2590-1230
Dimensions Badge
Altmetric Badge
Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/49389 |
DOI | 10.1016/j.rineng.2025.104873 |
Official URL | https://www.sciencedirect.com/science/article/pii/... |
Subjects | Current > FOR (2020) Classification > 3302 Building Current > FOR (2020) Classification > 4008 Electrical engineering Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | modified organic rankine cycle; artificial intelligence (AI); geothermal energy; residential building; multi energy production system; BEopt; zero energy building (ZEB) |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)