Neural forecasting of the day-ahead hourly power curve of a photovoltaic plant

@article{Ogliari2016NeuralFO,
  title={Neural forecasting of the day-ahead hourly power curve of a photovoltaic plant},
  author={Emanuele Ogliari and Alessandro Gandelli and Francesco Grimaccia and Sonia Leva and Marco Mussetta},
  journal={2016 International Joint Conference on Neural Networks (IJCNN)},
  year={2016},
  pages={654-659}
}
In this paper we propose a study to identify the best ANN configuration in terms of number of neurons, number of layers, training-set size, in order to perform the day-ahead energy production forecast for a Photo-Voltaic (PV) plant. This set up is applied to a novel hybrid method (PHANN Physic Hybrid Artificial Neural Network) in order to enhance the energy… CONTINUE READING