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Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification

Alfonso Gijón, Ainhoa Pujana-Goitia, E. Perea, Miguel Molina-Solana, Juan Gómez‐Romero

2025Engineering Applications of Artificial Intelligence7 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceWind powerRobustness (evolution)Artificial neural networkTurbineUncertainty quantificationWind power forecastingScalabilityPrediction intervalConsistency (knowledge bases)Power (physics)Wind speedData miningArtificial intelligenceMachine learningPredictive modellingElectric power systemData consistencyReplicateEnergy (signal processing)Efficient energy useData modelingCoherence (philosophical gambling strategy)Uncertainty analysisDeep learningDecision treeWind Energy Research and DevelopmentEnergy Load and Power ForecastingMachine Fault Diagnosis Techniques
Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification | Litcius