Choice of the Best Production Prediction Model for the Zagtouli Solar Power Plant in Burkina-Faso

作     者：Toussaint Tilado Guingane Eric Korsaga Mouhamadou Falilou Ndiaye Gaston Nabayaogo Dominique Bonkoungou Zacharie Koalaga Toussaint Tilado Guingane;Eric Korsaga;Mouhamadou Falilou Ndiaye;Gaston Nabayaogo;Dominique Bonkoungou;Zacharie Koalaga

作者机构：Physics UFR/SEA Materials and Environment Laboratory (LAME) Pr. Joseph Ki ZERBO University Ouagadougou Burkina Faso Physics UFR/ST Science and Technology Laboratory (LaST) Thomas SANKARA University Ouagadougou Burkina Faso Centre International de Formation et de Recherche en Energie Solaire (C.I.F.R.E.S) ESP-UCAD: BP 5085 Dakar-Fann Senegal 

出 版 物：《Engineering（科研）》 (工程（英文）（1947-3931）)

年 卷 期：2024年第16卷第9期

页      面：237-245页

学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

主　　题：Model Prediction Power Power Plant Photovoltaic Zagtouli Burkina-Faso 

摘      要：In this paper, we present a study on the prediction of the power produced by the 33 MWp photovoltaic power plant at Zagtouli in Burkina-Faso, as a function of climatic factors. We identified models in the literature, namely the Benchmark, input/output, Marion, Cristo-fri, Kroposki, Jones-Underwood and Hatziargyriou prediction models, which depend exclusively on environmental parameters. We then compared our linear model with these seven mathematical models in order to determine the most optimal prediction model. Our results show that the Hatziargyriou model is better in terms of accuracy for power prediction.