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

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

Abstract The study aims to predict solar energy generation to ensure the successful operation of solar power plants. This objective is crucial in light of the increasing energy demand, global warming concerns, and greenhouse gas emissions. To achieve this, the study employs multiple linear regressio...

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Bibliographic Details
Main Authors: Marzieh Mokarram, Jamshid Aghaei, Mohammad Jafar Mokarram, Gonçalo Pinto Mendes, Behnam Mohammadi‐Ivatloo
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:IET Renewable Power Generation
Subjects:
clean production
energy generation
feature selection
inverse distance weighting method
long short‐term memory method
solar energy
Online Access:https://doi.org/10.1049/rpg2.12781

Internet

https://doi.org/10.1049/rpg2.12781

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