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Deep neural network based digital twin framework for per-day energy extraction in partially illuminated photovoltaic systems

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Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
Digital Twins (DTs) in digitalization have become a potent device in real-time optimization of the photovoltaic (PV) system. Partial shading in PV systems is a serious issue resulting in significant energy wastage. The methodology discussed in this paper ...