A study on optimization of HVAC system in buildings using gray wolf optimizer (GWO) and artificial neural network (ANN)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00747-6.pdf
Reference58 articles.
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2. Abida, A., & Richter, P. (2023). HVAC control in buildings using neural network. Journal of Building Engineering, 65, 105558. https://doi.org/10.1016/j.jobe.2022.105558
3. Afram, A., Janabi-Sharifi, F., Fung, A. S., & Raahemifar, K. (2017). Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system. Energy and Buildings, 141, 96–113. https://doi.org/10.1016/j.enbuild.2017.02.012
4. Afroz, Z., Shafiullah, G. M., Urmee, T., Shoeb, M. A., & Higgins, G. (2022). Predictive modelling and optimization of HVAC systems using neural network and particle swarm optimization algorithm. Building and Environment, 209, 108681. https://doi.org/10.1016/j.buildenv.2021.108681
5. Agency, I. E. (2013). Transition to Sustainable Buildings.
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