Artificial Intelligence Based Meteorological Parameter Forecasting for Optimizing Response of Nuclear Emergency Decision Support System

This paper presents a novel artificial intelligence (AI) based approach to predict crucial meteorological parameters such as temperature, pressure, and wind speed, typically calculated from computationally intensive weather research and forecasting (WRF) model. Accurate meteorological data is indis...

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Autor principal:	BILAL Ahmed Khan, HASEEB ur Rehman, QAISAR Nadeem, MUHAMMAD Ahmad Naveed Qureshi, JAWARIA Ahad, MUHAMMAD Naveed Akhtar, AMJAD Farooq, MASROOR Ahmad
Format:	Artigo
Idioma:	Inglês
Publicat:	Editorial Board of Atomic Energy Science and Technology 2024-10-01
Col·lecció:	Yuanzineng kexue jishu
Matèries:	prediction of meteorological parameters weather research and forecasting model artificial neural networks nuclear emergency support system
Accés en línia:	https://yznkxjs.xml-journal.net/article/doi/10.7538/yzk.2024.youxian.0394
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