Publication | Closed Access

Ultra-short-term wind power forecasting jointly driven by anomaly detection, clustering and graph convolutional recurrent neural networks

Anomaly DetectionMachine LearningData ScienceEngineeringUltra-short-term Wind PowerEnergy ForecastingFault ForecastingForecastingDeep LearningEnergy PredictionRecurrent Neural Network