Abstract:This paper proposes an improved deep learning-based maximum power point tracking (MPPT) in solar photovoltaic cells considering various time seriesbased environmental inputs. Generally, artificial neural network-based MPPT algorithms use basic neural network architectures and inputs which do not represent the ambient conditions in a comprehensive manner. In this article, the ambient conditions of a location are represented through a comprehensive set of environmental features. Furthermore, the inclusion of tim… Show more
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