Machine Learning Applications in Electrolyzer Systems: A Comprehensive Review of Process Control, Predictive Maintenance, and Optimization Strategies
This review critically examines ML-driven strategies for hydrogen production optimization, hyperparameter tuning, intelligent process control, system design enhancement, and degradation monitoring in electrolyzer technologies such as Proton Exchange Membrane Water Electrolyzers and Anion Exchange Membrane Water Electro...