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System sizing for renewable energy driven green hydrogen production with deep reinforcement learning based on proximal policy optimization

Title: System sizing for renewable energy driven green hydrogen production with deep reinforcement learning based on proximal policy optimization
Authors: Iraklis, Christos; Altmann, Thomas
Source: 2025 5th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2025 5th International Conference on. :1-5 Oct, 2025
Relation: 2025 5th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Database: IEEE Xplore Digital Library