Power Curve Model

Power curve models predict wind turbine energy output based on environmental conditions, crucial for optimizing energy yield and monitoring turbine health. Recent research emphasizes developing more robust and transparent models, often employing machine learning techniques like Gaussian processes, while simultaneously addressing challenges like temporal overfitting and the need for physically meaningful uncertainty quantification. A key focus is incorporating explainable AI (XAI) methods to improve model interpretability and facilitate root cause analysis of performance issues, ultimately leading to more reliable predictions and improved turbine maintenance strategies.