Shafi, I.; Khan, H.; Farooq, M.S.; Diez, I.d.l.T.; Miró, Y.; Galán, J.C.; Ashraf, I.
An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation. Energies 2023, 16, 4171.
https://doi.org/10.3390/en16104171
AMA Style
Shafi I, Khan H, Farooq MS, Diez IdlT, Miró Y, Galán JC, Ashraf I.
An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation. Energies. 2023; 16(10):4171.
https://doi.org/10.3390/en16104171
Chicago/Turabian Style
Shafi, Imran, Harris Khan, Muhammad Siddique Farooq, Isabel de la Torre Diez, Yini Miró, Juan Castanedo Galán, and Imran Ashraf.
2023. "An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation" Energies 16, no. 10: 4171.
https://doi.org/10.3390/en16104171
APA Style
Shafi, I., Khan, H., Farooq, M. S., Diez, I. d. l. T., Miró, Y., Galán, J. C., & Ashraf, I.
(2023). An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation. Energies, 16(10), 4171.
https://doi.org/10.3390/en16104171