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All Journal Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Formosa Journal of Science and Technology (FJST) Formosa Journal of Applied Sciences (FJAS) Formosa Journal of Computer and Information Science Indonesian Journal of Advanced Research (IJAR) Journal of Electrical Engineering
Mahjabeen, Farhana
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : Formosa Journal of Computer and Information Science

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Data Science in Solar and Wind Energy Optimization: A Review Mahjabeen, Farhana
Formosa Journal of Computer and Information Science Vol. 3 No. 2 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v3i2.11534

Abstract

This article explores the transformative role of artificial intelligence in optimizing solar and wind energy systems. Harvard researchers leverage extensive datasets and Microsoft Azure to analyze complex interactions between various signals, exceeding human capabilities. The article examines how AI enhances operational efficiency, stability, and sustainability of renewable energy systems, delving into fundamental AI applications and data science techniques. It further explores emerging trends like deploying advanced AI algorithms on energy grids. The research also analyzes the economic and environmental impacts of AI on renewable energy, addressing challenges such as economic barriers and regulatory frameworks. Finally, it discusses relevant regulations and standards for AI-powered renewable energy, considering diverse stakeholder perspectives
Co-Authors Ahmad, Munir G.S., Kerimzade Garba, Auwal Hossain, Mohammad Hossain, Mohammad Amir Jain, Vishal Mahajan, Vinod Shantaram Patil, Dipak P. Rahman, Jami Yaseer Rahman, Taqi Yaseer Raza, Md. Adil