Renewable energy sources have been the driver of innovation, with solar, wind, and the green hydrogen close to the top of the list. The addition of Artificial Intelligence (AI) to these systems enables faster development, improved scalability, and higher reliability for these systems.
[pdf] It explores the practical applications of machine learning (ML), deep learning (DL), fuzzy logic, and emerging generative AI models, focusing on their roles in areas such as solar irradiance forecasting, energy management, fault detection, and overall operational optimisation.
[pdf] Several methods exist for storing . These include mechanical approaches such as using high pressures and low temperatures, or employing chemical compounds that release H2 upon demand. While large amounts of hydrogen are produced by various industries, it is mostly consumed at the site of production, notably for the synthesis of . For many years hydrogen has been stored as compres.
[pdf] Air storage vessels vary in the thermodynamic conditions of the storage and on the technology used: 1. Constant volume storage ( caverns, above-ground vessels, aquifers, automotive applications, etc.)2. Constant pressure storage (underwater pressure vessels, hybrid pumped hydro / compressed air storage)
[pdf] Starch primarily serves as an energy storage substance in plants, consisting of two major components: 1. Amylose, 2. Amylopectin, 3. Glucose units, 4. Energy reserve. As a polysaccharide, starch is crucial in energy metabolism, enabling plants to store energy derived from photosynthesis.
[pdf] Hydrogen storage requires either extremely high-pressure tanks or extremely cold temperatures, which means that storage alone consumes a lot of energy. This is why metal hydrides, which can store hydrogen more efficiently, are such a promising option.
[pdf] 
