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lack suitable hardware for data collection in the wild, but our ability to process and understand the resulting data suffers from major constraints. Here, advances in AI will be crucial, for instance by
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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