The Gulf Cooperation Council (GCC) region has become a focal point for research and innovation in the fields of meteorology and solar radiation, driven by the pressing need for sustainable solutions amidst rapid environmental changes. This paper synthesizes a series of studies conducted in the GCC countries, exploring the integration of artificial intelligence (AI) techniques to address key challenges in these domains. The studies reveal a concerted effort to harness AI-driven methodologies for various applications, including weather prediction, air quality monitoring, electrical load forecasting, and solar radiation estimation. Researchers have employed diverse AI techniques such as machine learning algorithms, neural networks, and fuzzy logic to analyze meteorological data and predict environmental phenomena accurately. In the realm of meteorology, AI-driven approaches have demonstrated significant advancements in forecasting extreme weather events, analyzing the impact of weather variables on traffic congestion, and predicting rainfall patterns with high accuracy. These studies underscore the importance of leveraging AI to enhance weather prediction capabilities, mitigate risks associated with adverse weather conditions, and optimize transportation systems in the GCC region. Moreover, the integration of AI techniques in solar radiation estimation has emerged as a promising avenue for optimizing renewable energy systems. Researchers have developed hybrid machine learning models to forecast solar radiation, utilizing numerical methods and historical weather data to improve prediction accuracy. These advancements have significant implications for the deployment of solar energy technologies and the transition towards sustainable energy sources in the GCC countries. Overall, the studies presented highlight the transformative potential of AI-driven approaches in meteorology and solar radiation estimation, offering insights into the development of innovative solutions to address environmental challenges and accelerate sustainable development in the GCC region.

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AI-Driven Transformations: Meteorology and Solar Radiation in the GCC Region

  • Mohammadu Bello Danbatta,
  • Nasser Al-Azri

摘要

The Gulf Cooperation Council (GCC) region has become a focal point for research and innovation in the fields of meteorology and solar radiation, driven by the pressing need for sustainable solutions amidst rapid environmental changes. This paper synthesizes a series of studies conducted in the GCC countries, exploring the integration of artificial intelligence (AI) techniques to address key challenges in these domains. The studies reveal a concerted effort to harness AI-driven methodologies for various applications, including weather prediction, air quality monitoring, electrical load forecasting, and solar radiation estimation. Researchers have employed diverse AI techniques such as machine learning algorithms, neural networks, and fuzzy logic to analyze meteorological data and predict environmental phenomena accurately. In the realm of meteorology, AI-driven approaches have demonstrated significant advancements in forecasting extreme weather events, analyzing the impact of weather variables on traffic congestion, and predicting rainfall patterns with high accuracy. These studies underscore the importance of leveraging AI to enhance weather prediction capabilities, mitigate risks associated with adverse weather conditions, and optimize transportation systems in the GCC region. Moreover, the integration of AI techniques in solar radiation estimation has emerged as a promising avenue for optimizing renewable energy systems. Researchers have developed hybrid machine learning models to forecast solar radiation, utilizing numerical methods and historical weather data to improve prediction accuracy. These advancements have significant implications for the deployment of solar energy technologies and the transition towards sustainable energy sources in the GCC countries. Overall, the studies presented highlight the transformative potential of AI-driven approaches in meteorology and solar radiation estimation, offering insights into the development of innovative solutions to address environmental challenges and accelerate sustainable development in the GCC region.