Geographic information system‐based prediction of solar power plant production using deep neural networks.

MLA

Mokarram, Marzieh, et al. “Geographic Information System‐based Prediction of Solar Power Plant Production Using Deep Neural Networks.” IET Renewable Power Generation (Wiley-Blackwell), vol. 17, no. 10, July 2023, pp. 2663–78. EBSCOhost, https://doi.org/10.1049/rpg2.12781.

APA

Mokarram, M., Aghaei, J., Mokarram, M. J., Mendes, G. P., & Mohammadi, I. B. (2023). Geographic information system‐based prediction of solar power plant production using deep neural networks. IET Renewable Power Generation (Wiley-Blackwell), 17(10), 2663–2678. https://doi.org/10.1049/rpg2.12781

Chicago

Mokarram, Marzieh, Jamshid Aghaei, Mohammad Jafar Mokarram, Gonçalo Pinto Mendes, and Ivatloo, Behnam Mohammadi. 2023. “Geographic Information System‐based Prediction of Solar Power Plant Production Using Deep Neural Networks.” IET Renewable Power Generation (Wiley-Blackwell) 17 (10): 2663–78. doi:10.1049/rpg2.12781.