Yoza, A.;                     Uchida, K.;                     Chakraborty, S.;                     Krishna, N.;                     Kinjo, M.;                     Senjyu, T.;                     Yan, Z.    
        Optimal Scheduling Method of Controllable Loads in Smart Home Considering Re-Forecast and Re-Plan for Uncertainties. Appl. Sci. 2019, 9, 4064.
    https://doi.org/10.3390/app9194064
    AMA Style
    
                                Yoza A,                                 Uchida K,                                 Chakraborty S,                                 Krishna N,                                 Kinjo M,                                 Senjyu T,                                 Yan Z.        
                Optimal Scheduling Method of Controllable Loads in Smart Home Considering Re-Forecast and Re-Plan for Uncertainties. Applied Sciences. 2019; 9(19):4064.
        https://doi.org/10.3390/app9194064
    
    Chicago/Turabian Style
    
                                Yoza, Akihiro,                                 Kosuke Uchida,                                 Shantanu Chakraborty,                                 Narayanan Krishna,                                 Mitsunaga Kinjo,                                 Tomonobu Senjyu,                                 and Zengfeng Yan.        
                2019. "Optimal Scheduling Method of Controllable Loads in Smart Home Considering Re-Forecast and Re-Plan for Uncertainties" Applied Sciences 9, no. 19: 4064.
        https://doi.org/10.3390/app9194064
    
    APA Style
    
                                Yoza, A.,                                 Uchida, K.,                                 Chakraborty, S.,                                 Krishna, N.,                                 Kinjo, M.,                                 Senjyu, T.,                                 & Yan, Z.        
        
        (2019). Optimal Scheduling Method of Controllable Loads in Smart Home Considering Re-Forecast and Re-Plan for Uncertainties. Applied Sciences, 9(19), 4064.
        https://doi.org/10.3390/app9194064