An Ensemble Network for High-Accuracy and Long-Term Forecasting of Icing on Wind Turbines

An Ensemble Network for High-Accuracy and Long-Term Forecasting of Icing on Wind Turbines

Freezing of wind turbines causes loss of wind-generated power. Forecasting or prediction of icing on wind turbine blades based on SCADA sensor data allows taking appropriate actions before icing occurs. This paper presents a newly developed deep learning network model named PCTG (Parallel CNN-TCN GR...

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Bibliographic Details
Main Authors: Jiazhi Dai, Mario Rotea, Nasser Kehtarnavaz
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
icing prediction on wind turbines
icing forecast using SCADA data
ensemble CNN-TCN-GRU network
Online Access:https://www.mdpi.com/1424-8220/24/24/8167
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