Multi-input deep convolutional neural network model for short-term power prediction of photovoltaics

HIGHLIGHTS

• who: Huimin Zhang et al. from the College of Mechanical and Electrical Engineering, Henan Technical Institute, Zhengzhou, Henan, China have published the research: Multi-Input Deep Convolutional Neural Network Model for Short-Term Power Prediction of Photovoltaics, in the Journal: Computational Intelligence and Neuroscience 140 120 of 20/09/2022
• what: The authors propose a multi-input deep convolutional neural network model for PV short-term power prediction which provides a short-term accurate prediction of PV power system output power which is beneficial for the power system dispatching department to coordinate the cooperation between . . .
  

   

  

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