Hashish, M.S.; Hasanien, H.M.; Ji, H.; Alkuhayli, A.; Alharbi, M.; Akmaral, T.; Turky, R.A.; Jurado, F.; Badr, A.O.
Monte Carlo Simulation and a Clustering Technique for Solving the Probabilistic Optimal Power Flow Problem for Hybrid Renewable Energy Systems. Sustainability 2023, 15, 783.
https://doi.org/10.3390/su15010783
AMA Style
Hashish MS, Hasanien HM, Ji H, Alkuhayli A, Alharbi M, Akmaral T, Turky RA, Jurado F, Badr AO.
Monte Carlo Simulation and a Clustering Technique for Solving the Probabilistic Optimal Power Flow Problem for Hybrid Renewable Energy Systems. Sustainability. 2023; 15(1):783.
https://doi.org/10.3390/su15010783
Chicago/Turabian Style
Hashish, Mohamed S., Hany M. Hasanien, Haoran Ji, Abdulaziz Alkuhayli, Mohammed Alharbi, Tlenshiyeva Akmaral, Rania A. Turky, Francisco Jurado, and Ahmed O. Badr.
2023. "Monte Carlo Simulation and a Clustering Technique for Solving the Probabilistic Optimal Power Flow Problem for Hybrid Renewable Energy Systems" Sustainability 15, no. 1: 783.
https://doi.org/10.3390/su15010783
APA Style
Hashish, M. S., Hasanien, H. M., Ji, H., Alkuhayli, A., Alharbi, M., Akmaral, T., Turky, R. A., Jurado, F., & Badr, A. O.
(2023). Monte Carlo Simulation and a Clustering Technique for Solving the Probabilistic Optimal Power Flow Problem for Hybrid Renewable Energy Systems. Sustainability, 15(1), 783.
https://doi.org/10.3390/su15010783