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Optimizing offshore wind farm performance: A novel multi-objective wake steering framework with utility-scale wind farm validation
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DOI：10.1016/j.oceaneng.2026.127483.png)
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Abstract
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• A novel ML-based wake steering framework is validated at a utility scale wind farm. • Multi-objective framework balances farm power enhancement and fatigue mitigation. • Fuzzy clustering and entropy weighting identify the optimal Pareto solution. • Optimal yaw control yields up to 11.7% power gain under compact turbine spacing.
Keywords:
Wake steering
Wind turbine
Multi-objective optimization
Offshore wind farm
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