Publikationen in Zusammenarbeit mit Forschern von Cranfield University (6)

2023

  1. Accounting for Environmental Conditions in Data-Driven Wind Turbine Power Models

    IEEE Transactions on Sustainable Energy, Vol. 14, Núm. 1, pp. 168-177

  2. Modelling Wind Turbine Power Curves based on Frank’s copula

    Renewable Energy and Power Quality Journal, Vol. 21, pp. 511-515

  3. SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends

    Wind Engineering, Vol. 47, Núm. 2, pp. 422-441

2022

  1. EfficientNet Architecture Family Analysis on Railway Track Defects

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance

    Journal of Marine Science and Engineering, Vol. 10, Núm. 7