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Optimization of solar and wind power plants production through a parallel fusion approach with modified hybrid machine and deep learning models

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Year: 2025
Type: article
Source: Intelligent Data Analysis
DOI: 10.1177/1088467x241312592
Authors: Muhammad Abubakar, Yanbo Che, Ahsan Zafar, Mahmoud Ahmad Al-Khasawneh, Muhammad Shoaib Bhutta
Institutions: Tianjin University, Applied Science Private University, Skyline University College, Guilin University of Aerospace Technology
Language: English

Topic: Solar Radiation and Photovoltaics
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funder: National Natural Science Foundation of China
Award: G359230534
OpenAlex ID: W4407614493
FWCI: 6.834
Cites: 39
Cited by: 16
Related to: 10
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