Dehghani, M.;                     Riahi-Madvar, H.;                     Hooshyaripor, F.;                     Mosavi, A.;                     Shamshirband, S.;                     Zavadskas, E.K.;                     Chau, K.-w.    
        Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System. Energies 2019, 12, 289.
    https://doi.org/10.3390/en12020289
    AMA Style
    
                                Dehghani M,                                 Riahi-Madvar H,                                 Hooshyaripor F,                                 Mosavi A,                                 Shamshirband S,                                 Zavadskas EK,                                 Chau K-w.        
                Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System. Energies. 2019; 12(2):289.
        https://doi.org/10.3390/en12020289
    
    Chicago/Turabian Style
    
                                Dehghani, Majid,                                 Hossein Riahi-Madvar,                                 Farhad Hooshyaripor,                                 Amir Mosavi,                                 Shahaboddin Shamshirband,                                 Edmundas Kazimieras Zavadskas,                                 and Kwok-wing Chau.        
                2019. "Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System" Energies 12, no. 2: 289.
        https://doi.org/10.3390/en12020289
    
    APA Style
    
                                Dehghani, M.,                                 Riahi-Madvar, H.,                                 Hooshyaripor, F.,                                 Mosavi, A.,                                 Shamshirband, S.,                                 Zavadskas, E. K.,                                 & Chau, K.-w.        
        
        (2019). Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System. Energies, 12(2), 289.
        https://doi.org/10.3390/en12020289