Operation of photovoltaic power generation systems by neural network

The possibility of using an artificial neural network for the operation control of a photovoltaic/diesel hybrid system is examined. The optimum operation patterns of the diesel generator are calculated by dynamic programming (DP) under the known insolation and load demand, which minimize the fuel consumption of the diesel generator. These optimum patterns are learned by the neural network, and it is tested for different insolation and demand data from those used in the learning.<
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