Anomaly Prediction for Wind Turbines Using an Autoencoder Based on Power-Curve Filtering.
Masaki TakanashiShuichi SatoKentaro IndoNozomu NishiharaHiroto IchikawaHirohisa WatanabePublished in: IEICE Trans. Inf. Syst. (2021)
Keyphrases
- wind turbine
- wind speed
- wind power
- wind farm
- power generation
- anomaly detection
- prediction accuracy
- prediction error
- wind energy
- power consumption
- prediction model
- b spline
- fault diagnosis
- long term
- filtering algorithm
- intelligent systems
- case based reasoning
- neural network
- endpoints
- intrusion detection
- association rules