Daily prediction model of photovoltaic power generation using a hybrid architecture of recurrent neural networks and shallow neural networks

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  • who: Wilson Castillo-Rojas and colleagues from the Department of Informatics Engineering and Computer Science, University of Atacama, AvCopayapu, Chile have published the research work: Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks, in the Journal: International Journal of Photoenergy 0.10 of 18/04/2023
  • what: The aim of this work is based on developing various computational models capable of making short-term forecasting about the generation of photovoltaic energy that is generated in a solar plant. The results of this work have . . .

     

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