Optimizing solar-powered multi-generation systems for sustainable energy management in university buildings using Neural Networks and Genetic Algorithms

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Assareh, Ehsanolah, Izadyar, Nima ORCID logoORCID: https://orcid.org/0000-0002-2487-5915, Jamei, Elmira ORCID logoORCID: https://orcid.org/0000-0002-4270-0326, Monzavian, Mohammad amin, Agarwal, Saurabh ORCID logoORCID: https://orcid.org/0000-0003-3836-2595 and Agarwal, Neha (2025) Optimizing solar-powered multi-generation systems for sustainable energy management in university buildings using Neural Networks and Genetic Algorithms. Journal of Building Engineering, 108. ISSN 2352-7102

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/49387
DOI 10.1016/j.jobe.2025.112939
Official URL https://www.sciencedirect.com/science/article/pii/...
Subjects 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 artificial intelligence optimization; energy efficiency; renewable energy integration; solar-powered multi-generation systems; sustainable university campuses
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