Gharahbagh, A.A.;                     Hajihashemi, V.;                     Salehi, N.;                     Moradi, M.;                     Machado, J.J.M.;                     Tavares, J.M.R.S.    
        Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction. Appl. Sci. 2024, 14, 11710.
    https://doi.org/10.3390/app142411710
    AMA Style
    
                                Gharahbagh AA,                                 Hajihashemi V,                                 Salehi N,                                 Moradi M,                                 Machado JJM,                                 Tavares JMRS.        
                Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction. Applied Sciences. 2024; 14(24):11710.
        https://doi.org/10.3390/app142411710
    
    Chicago/Turabian Style
    
                                Gharahbagh, Abdorreza Alavi,                                 Vahid Hajihashemi,                                 Nasrin Salehi,                                 Mahyar Moradi,                                 José J. M. Machado,                                 and João Manuel R. S. Tavares.        
                2024. "Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction" Applied Sciences 14, no. 24: 11710.
        https://doi.org/10.3390/app142411710
    
    APA Style
    
                                Gharahbagh, A. A.,                                 Hajihashemi, V.,                                 Salehi, N.,                                 Moradi, M.,                                 Machado, J. J. M.,                                 & Tavares, J. M. R. S.        
        
        (2024). Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction. Applied Sciences, 14(24), 11710.
        https://doi.org/10.3390/app142411710