DOAJ Open Access 2025

AI-ML techniques for green hydrogen: A comprehensive review

Mamta Motiramani Priyanshi Solanki Vidhi Patel Tamanna Talreja Nainsiben Patel +2 lainnya

Abstrak

Green hydrogen is a cleaner source to replace fossil-based fuels and is critical in the global shift toward energy production to combat climate change. This review of embedding artificial intelligence (AI) and machine learning (ML) in the value chain of green hydrogen outlines the significant potential for full transformation. These include optimizing the utilization of renewable sources of energy, improving electrolysis process, hydrogen storage in the salt cavern that has better condition, and smarter systems in distribution side with inexpensive logistics. In this, it nullifies leak risks and safeguards the safety operations with detection using AI. Consequently, it positions the paper emphasizing AI-ML approaches demonstrating significant advancements in efficiency and sustainability in green hydrogen technology.

Topik & Kata Kunci

Energy industries. Energy policy. Fuel trade Renewable energy sources

Penulis (7)

Mamta Motiramani

Priyanshi Solanki

Vidhi Patel

Tamanna Talreja

Nainsiben Patel

Divya Chauhan

Alok Kumar Singh

Format Sitasi

APA MLA BibTeX

Motiramani, M., Solanki, P., Patel, V., Talreja, T., Patel, N., Chauhan, D. et al. (2025). AI-ML techniques for green hydrogen: A comprehensive review. https://doi.org/10.1016/j.nxener.2025.100252

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.1016/j.nxener.2025.100252
Akses: Open Access ✓