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This study presents a hybrid hydrogen production system integrating proton exchange membrane (PEM) and alkaline electrolyzers to enhance efficiency and reduce costs. By utilizing long short-term memory (LSTM) for photovoltaic power prediction, the system pre-regulates electrolyzer power to mitigate fluctuations, achieving a 27.2% reduction in initial investment and a 58.7% increase in hydrogen production compared to traditional systems. The research addresses challenges in power regulation and forecasting f

Author
yared bekele
Language
EN

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