PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use "parents" and "offspring" solutions to achieve better results in subsequent generations. "Researchers from Spain's Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization model for feedforward artificial neural networks (FF-ANNs) using genetic algorithms (GAs) techniques. Hyperparameters are external ...

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