Asymmetric Leading-Edge Design Mechanisms and Multi-Agent Reinforcement Learning Optimization for Wide-Incidence Turbine Blades

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2026.141106
Affiliations:
2
Authors:
5
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Institutions Authors Share
Harbin Institute of Technology (HIT), China
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