Author: Arnes Biogradlija

green hydrogen

In the latest issue of the International Journal of Hydrogen Energy, researchers Rania Ahmed, Sara A. Shehab, Omar M. Elzeki, Ashraf Darwish, and Aboul Ella Hassanein have introduced an advanced AI model designed to optimize green hydrogen production. Their paper, titled “An Explainable AI for Green Hydrogen Production: A Deep Learning Regression Model,” presents a breakthrough in predictively optimizing hydrogen generation. The Optimized Hydrogen Generation-based Regression (OHGR) model developed by the team utilizes a sophisticated deep learning architecture. This model is capable of forecasting hydrogen production by adjusting critical variables such as temperature, pressure, and humidity. Using a novel approach…

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Bridge Street Capital Endorses Pure Hydrogen's Strategy

Bridge Street Capital is giving a nod of approval to Pure Hydrogen’s advancing strategy in the hydrogen sector. Pure Hydrogen has captured attention with its innovative and forward-thinking approach to developing hydrogen energy solutions, which aligns well with global shifts towards sustainable energy.

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