Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities
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DOI: 10.1016/j.rser.2022.112401
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Cited by:
- Rocha, Helder R.O. & Fiorotti, Rodrigo & Louzada, Danilo M. & Silvestre, Leonardo J. & Celeste, Wanderley C. & Silva, Jair A.L., 2024. "Net Zero Energy cost Building system design based on Artificial Intelligence," Applied Energy, Elsevier, vol. 355(C).
- Feng Qian & Zedao Shi & Li Yang, 2024. "A Review of Green, Low-Carbon, and Energy-Efficient Research in Sports Buildings," Energies, MDPI, vol. 17(16), pages 1-21, August.
- Tsai, I-Chun, 2024. "A wise investment by urban governments: Evidence from intelligent sports facilities," Journal of Asian Economics, Elsevier, vol. 92(C).
- Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Amir Mansouri, Seyed & Jurado, Francisco, 2022. "Day-ahead scheduling of 100% isolated communities under uncertainties through a novel stochastic-robust model," Applied Energy, Elsevier, vol. 328(C).
- Elnour, Mariam & Himeur, Yassine & Fadli, Fodil & Mohammedsherif, Hamdi & Meskin, Nader & Ahmad, Ahmad M. & Petri, Ioan & Rezgui, Yacine & Hodorog, Andrei, 2022. "Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities," Applied Energy, Elsevier, vol. 318(C).
- Scott, Connor & Ahsan, Mominul & Albarbar, Alhussein, 2023. "Machine learning for forecasting a photovoltaic (PV) generation system," Energy, Elsevier, vol. 278(C).
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Keywords
Building automation and management system (BAMS); Sustainable smart sports facility; Energy optimization and management; Artificial intelligence; Optimization; Dynamic simulation;All these keywords.
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