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    Performance of the Module Temperature Model in Forecasting the Power Output of Photovoltaic Systems
    (2018-07-02)
    Dawan, Promphak
    ;
    Worranetsuttikul, Kaweepoj
    ;
    Kittisontirak, Songkiate
    ;
    Sriprapha, Kobsak
    ;
    Titiroongruang, Wisut
    This paper is the study the performance of the temperature model in forecasting the power output of photovoltaic systems. The prominent point of the solar power forecasting model was to use only one input parameter (solar irradiance). Solar irradiance was injected into the temperature model using mathematic equations. The output of temperature model and the solar irradiance was used by the solar power forecasting model for forecasting the power output of the photovoltaic systems. The results shows that the effectiveness of the temperature model had a discrepancy at 4.03%, which is acceptable.
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    Comparison of Performance of 1D5P with 2 Input and 1 Input Model in Forecasting of Power Output for Photovoltaic Systems
    (2018-07-02)
    Dawan, Promphak
    ;
    Kittisontirak, Songkiate
    ;
    Sriprapha, Kobsak
    ;
    Muanglua, Rangson
    ;
    Titiroongruang, Wisut
    This paper presents the comparison on forecasting performance of power output for photovoltaic system type 1D \pmb{5}\mathbf{P}, which used 1 input parameter being solar irradiance and 2 input parameters consisting of solar irradiance and the temperature model. The result shows that the forecasting of power output for photovoltaic system type 1D5P, which used 1 input parameter, provided root-mean-square deviation (RMSE) at 0.04 and for 2 input parameters provided RMSE at 0.05.