AI-Driven Informatics and Communication Framework for Smart Hydrogen Production Systems
Hassan OUGRAZ
Abstract. This paper suggests an AI-assisted informatics and communication methodology for the smart production system of hydrogen, which comprises AI, internet of things (IoT), and intelligent control. The structure of this architecture enables the real-time monitoring, adaptive optimization, and predictive control for electrolyzer operation powered by renewable energy. A proof-of-concept pilot system is implemented by combining AI data analytics with Internet of Things (IoT) communication to verify the proposed approach. The system-layer achieved, on average, a communication latency of 45ms with less than 1% packet loss to enable reliable closed-loop operation. The architecture presented shows how AI and smart communication increase the efficiency, reliability and autonomy of hydrogen production thus ensuring a seamless transition to intelligent data-driven renewable energy systems.
Keywords
Artificial Intelligence, Hydrogen Productions Informatics, Smart Communication, Internet of Things, Energy Optimization, Machine Learning, Integration of Renewable Energy, Intelligent Control
Published online 4/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Hassan OUGRAZ, AI-Driven Informatics and Communication Framework for Smart Hydrogen Production Systems, Materials Research Proceedings, Vol. 64, pp 329-336, 2026
DOI: https://doi.org/10.21741/9781644904091-41
The article was published as article 41 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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