A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction

Elmousalami, Haytham; Elmesalami, Hadi Hesham; Maxi, Mina; Farid, Ahmed Abdel Kader Mohamed; Elshaboury, Nehal

doi:10.1016/j.dajour.2024.100527

Decision Analytics Journal

2024

DOI: 10.1016/j.dajour.2024.100527

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A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction

Haytham Elmousalami,

Hadi Hesham Elmesalami,

Mina Maxi

et al.

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AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

Alnaser,

Maxi,

Elmousalami

2024

Applied Sciences

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This systematic literature review explores the intersection of AI-driven digital twins and IoT in creating a sustainable building environment. A comprehensive analysis of 125 papers focuses on four major themes. First, digital twins are examined in construction, facility management, and their role in fostering sustainability and smart cities. The integration of IoT and AI with digital twins and energy optimization for zero-energy buildings is discussed. Second, the application of AI and automation in manufacturing, particularly in Industry 4.0 and cyber-physical systems, is evaluated. Third, emerging technologies in urban development, including blockchain, cybersecurity, and EEG-driven systems for sustainable buildings, are highlighted. The study underscores the role of data-driven approaches in flood resilience and urban digital ecosystems. This review contributes to sustainability by identifying how digital technologies and AI can optimize energy use and enhance resilience in both urban and industrial contexts.

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AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

Alnaser,

Maxi,

Elmousalami

2024

Applied Sciences

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction

Cited by 1 publication

References 72 publications

AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

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