Convolutional neural network with dual inputs for time series ice prediction on rotor blades of wind turbines

Author:

Kreutz Markus,Alla Abderrahim Ait,Varasteh Kamaloddin,Ohlendorf Jan-Hendrik,Lütjen Michael,Freitag Michael,Thoben Klaus-Dieter

Funder

BMWi

Publisher

Elsevier BV

Subject

General Medicine

Reference29 articles.

1. Agarap, A.F., 22.03.2018. Deep Learning using Rectified Linear Units (ReLU). URL: http://arxiv.org/pdf/1803.08375v2.

2. Bosch, S., Peyke, G., 2011. Regionalplanerische Einstufung der Windenergie in Deutschland – Visualisierung konkurrierender Flächennutzungsansprüche an On-und Offshore-Standorten mittels GIS: AGIT 2011-Symposium und Fachmesse Angewandte Geoinformatik. Salzburg, Austria. Angewandte Geoinformatik 2011.

3. Botta, G., Cavaliere, M., Holttinen, H., 1998. Ice Accretion at Acqua Spruzza and Its Effects on Wind Turbine Operation and Loss of Energy Production. Ice Accretion at Acqua Spruzza and its Effects on Wind Turbine Operation and Loss of Energy Production, BOREAS IV.

4. Forecast of Icing Events at a Wind Farm in Sweden;Davis;Journal of Applied Meteorology and Climatology,2014

5. Dozat, T., 2016. Incorporating nesterov momentum into adam, in: ICLR 2016 Workshop. URL: https://openreview.net/pdf?id= OM0jvwB8jIp57ZJjtNEZ.

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