A comprehensive review of AI-enhanced smart grid integration for hydrogen energy
Source: Science Direct
In this article published in the International Journal of Hydrogen Energy, the authors review the integration of AI technology with smart grids to optimize hydrogen energy utilization, addressing advancements, challenges, and potential breakthroughs.
Leveraging AI techniques like deep learning and machine learning enables optimized energy processes, predictive maintenance, and efficient demand-side management, enhancing energy system resilience and sustainability.
Despite significant hurdles such as data privacy concerns and technological limitations, the article advocates for a forward-thinking approach to AI-enhanced smart grid technologies, emphasizing autonomy, Edge AI, and decentralization.
Governmental actions and regulatory initiatives are deemed crucial in steering advancements towards a resilient, sustainable energy future, promoting energy market reforms and technological neutrality.