Ice prediction for wind turbine rotor blades with time series data and a deep learning approach-Reference-Cited by-同舟云学术

Ice prediction for wind turbine rotor blades with time series data and a deep learning approach

Author:

Kreutz Markus,Alla Abderrahim Ait,Lütjen Michael,Ohlendorf Jan-Hendrik,Freitag Michael,Thoben Klaus-Dieter,Zimnol Florian,Greulich Andreas

Funder

Bundesministerium für Wirtschaft und Energie

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,Geotechnical Engineering and Engineering Geology

Reference56 articles.

1. Review of icing effects on wind turbine in cold regions;Afzal,2018

2. Deep Learning using Rectified Linear Units (ReLU);Agarap,2018

3. Relevance of Icing. Technical report, DTU Wind turbine ice prevention systems selection and design (41326), lecture notes;Battisti,2008

4. Wind Turbines in Cold Climates: Icing Impacts and Mitigation Systems / Lorenzo Battisti. Green Energy and Technology;Battisti,2015

5. Ice accretion at acqua spruzza and its effects on wind turbine operation and loss of energy production;Botta,1998

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