Analysis of solar energy potentials of five selected south-east cities in nigeria using deep learning algorithms

Analysis of solar energy potentials of five selected south-east cities in nigeria using deep learning algorithms

Abstract This study presents a meticulous examination of the solar energy potential of five selected metropolitan cities (Abakaliki, Awka, Enugu, Owerri, and Umuahia) in Eastern part of Nigeria using deep learning algorithm, specifically the Long Short-Term Memory (LSTM) model. These cities, despite...

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Bibliographic Details
Main Authors: Samuel Ikemba, Kim Song-hyun, Temiloluwa O Scott, Daniel R. E. Ewim, Sogo M. Abolarin, Akeeb Adepoju Fawole
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Sustainable Energy Research
Subjects:
Nigeria
Energy crisis
Power generation
Renewable energy
Solar energy potential
Deep learning procedures
Online Access:https://doi.org/10.1186/s40807-023-00096-7

Internet

https://doi.org/10.1186/s40807-023-00096-7

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