This work aims to present a new artificial intelligence-based algorithm applied to solar trackers that consider bifacial panels to enhance energy generation. However, several factors need consideration to further optimize this process. Important variables include the distance between panels, surface reflectivity, bifacial panels, and climate. . In this paper we present a backtracking algorithm that improves the energy production of a single-axis solar tracker by reducing the shadow caused by neighboring panels. Moreover, the proposed algorithm can operate in any field slope avoiding the necessity of correcting the field slope where the. . gle with environmental variability, sensor noise, and scalability limitations. . Split-cell and multi-panel photovoltaic backtracking control systems and methods allow for increased total power generation during low sun elevation conditions by shading a percentage of panel modules, thereby allowing for a lower angle of incidence on unshaded modules. Isat is the saturate deled using the values of solarex_msx_60[12].
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