Photovoltaic energy forecast using weather data through a hybrid model of recurrent and shallow neural networks
W Castillo-Rojas, F Medina Quispe, C Hernández - Energies, 2023 - mdpi.com
In this article, forecast models based on a hybrid architecture that combines recurrent neural
networks and shallow neural networks are presented. Two types of models were developed …
networks and shallow neural networks are presented. Two types of models were developed …
A novel thermoelectrical model for dye-sensitized solar cells for consideration of the effects of solar irradiation, wavelength, and surface temperature
The present study aims to provide an innovative model to simulate the behavior of dye-
sensitized solar cells, considering their advantages and the emerging technology of cells …
sensitized solar cells, considering their advantages and the emerging technology of cells …
Daily prediction model of photovoltaic power generation using a hybrid architecture of recurrent neural networks and shallow neural networks
W Castillo-Rojas, J Bekios-Calfa… - International Journal of …, 2023 - Wiley Online Library
In recent years, photovoltaic energy has become one of the most implemented electricity
generation options to help reduce environmental pollution suffered by the planet. Accuracy …
generation options to help reduce environmental pollution suffered by the planet. Accuracy …