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Analytical and Bioanalytical Electrochemistry، جلد ۱۷، شماره ۵، صفحات ۳۲۷-۳۴۷
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عنوان انگلیسی AI Empowering Green Hydrogen: Innovating for A Sustainable Energy Future
چکیده انگلیسی مقاله Finding green hydrogen has become essential in the request for a cleaner energy source and as a means of achieving a net-zero carbon economy. The following concepts for enhancing green generation have been spread due to the current study focuses on offering suggestions for a literature evaluation in AI and RE (renewable energy). Therefore, based on the proportion and potential to modify specific phases of hydrogen production, such as water cleaving, or to enhance the dependability and efficiency of systems that use renewable energy, including solar, wind, and so on. The current literature review includes an examination of AI technologies. The proposed model also describes primary neural networks and machine learning approaches, as well as the primary predictive maintenance-based application domains for them. These insights also have significance for improving the use of sustainable energy, addressing ambiguous prior energies, and presenting AI’s approach to the revival of green hydrogen technology.
کلیدواژه‌های انگلیسی مقاله artificial intelligence,Green Hydrogen Production,Renewable energy sources,Sustainable energy technologies,water electrolysis
نویسندگان مقاله Mehdi Haqqi |
Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

Zoubida Benmamoun |
College of Engineering and Computing, Liwa University, Abu Dhabi, 31009, United Arab Emirates

Hanaa Hachimi |
Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail Uni-versity, Kenitra, Morocco

نشانی اینترنتی https://www.abechem.com/article_724928_b1a63a67a10f53bb869e174eeb7962ec.pdf
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