Cite
FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology.
MLA
Mohseni, Saeid-Reza, et al. “FMI Real-Time Co-Simulation-Based Machine Deep Learning Control of HVAC Systems in Smart Buildings: Digital-Twins Technology.” Transactions of the Institute of Measurement & Control, vol. 45, no. 4, Feb. 2023, pp. 661–73. EBSCOhost, https://doi.org/10.1177/01423312221119635.
APA
Mohseni, S.-R., Zeitouni, M. J., Parvaresh, A., Abrazeh, S., Gheisarnejad, M., & Khooban, M.-H. (2023). FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology. Transactions of the Institute of Measurement & Control, 45(4), 661–673. https://doi.org/10.1177/01423312221119635
Chicago
Mohseni, Saeid-Reza, Meisam Jahanshahi Zeitouni, Ahmad Parvaresh, Saber Abrazeh, Meysam Gheisarnejad, and Mohammad-Hassan Khooban. 2023. “FMI Real-Time Co-Simulation-Based Machine Deep Learning Control of HVAC Systems in Smart Buildings: Digital-Twins Technology.” Transactions of the Institute of Measurement & Control 45 (4): 661–73. doi:10.1177/01423312221119635.