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has been cited by the following article:

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

  AUTHORS: Toussaint Tilado Guingane, Eric Korsaga, Mouhamadou Falilou Ndiaye, Gaston Nabayaogo, Dominique Bonkoungou, Zacharie Koalaga

  KEYWORDS: Model, Prediction, Power, Power Plant, Photovoltaic, Zagtouli, Burkina-Faso

  JOURNAL NAME: Engineering, Vol.16 No.9, September 6, 2024

  ABSTRACT: 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.