top of page

Publications

Surface solar radiation: AI satellite retrieval can outperform Heliosat and generalizes to other climate zones

Schuurman, K., A. Meyer

International Journal of Remote Sensing, 2025, doi:10.1080/01431161.2025.2471596 [Link]

Extending intraday solar forecast horizons with deep generative models

Carpentieri, A., D. Folini, J. Leinonen, A. Meyer

Applied Energy, 2025, doi:10.1016/j.apenergy.2024.124186 [Link

 

Offshore Renewable Energies: Exploring Floating Modular Energy Islands — Materials, Construction Technologies, and Life Cycle Analysis

Marino, E., Gkantou, M., A. Malekjafarian, S. Bali, C. Baniotopoulos, J. van Beeck, R. Borg, N. Bruschi, P. Cardiff, E. Chatzi, I. Cudina, F. Dinu, E. Erhymiou, G. Ferri, H. Gervasio, J. Heng, Z. Jiang, S. Lenci, I. Lukacevic, L. Manuel, A. Meyer, M. Mendez Morales, A. Osmanovic, V. Pakrashi, A. Pandit, G. Rega, D. Skejic, L. Tesch, D. Ungureanu, T. Uzunovic, A. Shankar Vermar,

Journal of Ocean Engineering and Marine Energy, 2025, doi:10.1007/s40722-025-00403-y [Link]

 

Wind turbine condition monitoring based on intra- and inter-farm federated learning

Grataloup, A., S. Jonas, A. Meyer

IEEE Access, 2025, doi:10.1109/ACCESS.2025.3599360 [Link]

A review of federated learning in renewable energy applications:  Potential, challenges, and future directions

Grataloup, A., S. Jonas, A. Meyer

Energy and AI, 17, 2024, doi:10.1016/j.egyai.2024.100375 [Link]

 

Bias correction of wind power forecasts with SCADA data and continuous learning

Jonas, S., K. Winter, B. Brodbeck, A. Meyer

Journal of Physics: Conference Series, 2024, doi:10.1088/1742-6596/2767/9/092061 [Link]

Multi-Target Normal Behavior Model Based on Heterogeneous Stacked Regressions and Change-Point Detection for Wind Turbine Condition Monitoring

Bilendo, F., N. Lu, H. Badihi, A. Meyer, U. Cali, P. Cambron

IEEE Transactions on Industrial Informatics, 20, 4, 2024, doi:10.1109/TII.2023.3331766 [Link]

Offshore renewable energies: a review towards Floating Modular Energy Islands – Monitoring, Loads, Modeling and Control

Marino, E., Gkantou, M., A. Malekjafarian, S. Bali, C. Baniotopoulos, J. van Beeck, R. Borg, N. Bruschi, P. Cardiff, E. Chatzi, I. Cudina, F. Dinu, E. Erhymiou, G. Ferri, H. Gervasio, J. Heng, Z. Jiang, S. Lenci, I. Lukacevic, L. Manuel, A. Meyer, M. Mendez Morales, A. Osmanovic, V. Pakrashi, A. Pandit, G. Rega, D. Skejic, L. Tesch, D. Ungureanu, T. Uzunovic, A. Shankar Vermar, 

Ocean Engineering, 313, 119251, 2024, doi:10.1016/j.oceaneng.2024.119251 [Link]

 

Intraday probabilistic forecasts of surface solar radiation with cloud scale-dependent autoregressive advection

Carpentieri, A., S. Pulkkinen, D. Nerini, D. Folini, M. Wild, A. Meyer

Applied Energy, 351, 2023, doi: 10.1016/j.apenergy.2023.121775 [Link] [PDF]

Satellite-derived solar radiation for intra-hour and intra-day applications: Biases and uncertainties by season and altitude

Carpentieri, A., D. Folini, M. Wild, L. Vuilleumier, A. Meyer

Solar Energy, 255, 274-284, 2023, doi: 10.1016/j.solener.2023.03.027 [Link]

Privacy-preserving Fleet-wide Learning of Wind Turbine Conditions with Federated Learning

Jenkel, L., S. Jonas, A. Meyer

Energies, 16(17), 2023, doi: 10.3390/en16176377 [Link]

SCADA-based fault detection in wind turbines: Data-driven techniques and applications, In: Non-Destructive Testing and Condition Monitoring Techniques In Wind Energy

Meyer, A.

Academic Press, Editors: F. Marquez, M. Papaelias, V. Jantara Junior, ISBN 9780323996662, 2023, doi: 10.1016/B978-0-323-99666-2.00001-0 [Link]

 

Vibration fault detection in wind turbines based on normal behaviour models without feature engineering

Jonas, S., D. Anagnostos, B. Brodbeck, A. Meyer

Energies, 16(4), 1760, 2023, doi: 10.3390/en16041760 [Link]

Applications and Modeling Techniques of Wind Turbine Power Curve for Wind Farms - A Review

Bilendo, F., A. Meyer, H. Badihi, N. Lu, P. Cambron, B. Jiang

Energies, 16(1), 180, 2022, doi:10.3390/en16010180

 

Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning

Meyer, A.

Energies, 15(4), 2022, doi: 10.3390/en15041514 [Link]

 

Artificial intelligence-based condition monitoring and predictive maintenance framework for wind turbines

Maron, J., D. Anagnostos, B. Brodbeck, A. Meyer

Journal of Physics Conference Series, 2022, doi: 10.1088/1742-6596/2151/1/012007 [Link]

 

Multi-target normal behaviour models for wind farm condition monitoring

Meyer, A.

Applied Energy, 2021, doi: 10.1016/j.apenergy.2021.117342 [Link] [Article]

Early fault detection with multi-target neural networks

Meyer, A.

Lecture Notes in Computer Science, Vol. 12953, Springer, in: O. Gervasi et al. (Eds.): ICCSA 2021, LNCS 12951, pp. 1–9, 2021, doi: 10.1007/978-3-030-86970-0_30, 2021.

 

Data-driven Performance Fault Detection in Commercial Wind Turbines

Meyer, A., B. Brodbeck

Proceedings of the 5th European Conference of the Prognostics and Health Management Society (PHME20), ISBN 978-1-93-626332-5, 2020. [Download]

 

Accuracy of Satellite-derived Solar Direct Irradiance in Southern Spain and Switzerland

Vuilleumier, L., A. Meyer, R. Stöckli, S. Wilbert, L. Zarzalejo

International Journal of Remote Sensing, 2020, doi: 10.1080/01431161.2020.1783712

 

Applications of a shadow camera system for energy meteorology

Kuhn, P., S. Wilbert, C. Prahl, D. Garsche, D. Schüler, T. Haase, L. Ramirez, L. Zarzalejo, A. Meyer, P. Blanc, R. Pitz-Paal

Advances in Science and Research, 2018, doi: 10.5194/asr-15-11-2018

Validation of an all‐sky imager–based nowcasting system for industrial PV plants

Kuhn, P., B. Nouri, S. Wilbert, C. Prahl, N. Kozonek, T. Schmidt, Z. Yasser, L. Ramirez, L. Zarzalejo, A. Meyer, L. Vuilleumier, D. Heinemann, P. Blanc, R. Pitz‐Paal

Progress in Photovoltaics: Research and Applications, 26, 2018, doi: 10.1002/pip.2968

 

Shadow camera system for the generation of solar irradiance maps

Kuhn, P., S. Wilbert, C. Prahl, D. Schüler, T. Haase, T. Hirsch, M. Wittmann, L. Ramirez, L. Zarzalejo, A. Meyer, L. Vuilleumier, P. Blanc, R. Pitz-Paal

Solar Energy, 2017, doi: 10.1016/j.solener.2017.05.074

 

Cirrus cloud properties as seen by the CALIPSO satellite and ECHAM-HAM global climate model

Gasparini, B., A. Meyer, D. Neubauer, S. Münch, U. Lohmann

Journal of Climate, 2017, doi: 10.1175/JCLI-D-16-0608.1 [Article]

 

Validation of spatially resolved all sky imager derived DNI nowcasts

Kuhn, P., S. Wilbert, D. Schüler, C. Prahl, T. Haase, L. Ramirez, L. Zarzalejo, A. Meyer, L. Vuilleumier, P. Blanc, J. Dubrana, A. Kazantzidis, M. Schroedter-Homscheidt, T. Hirsch, R. Pitz-Paal

AIP Conference Proceedings, 2017, doi: 10.1063/1.4984522

Tropical temperature and precipitation responses to large volcanic eruptions: Observations and AMIP5 simulations

Meyer, A., D. Folini, U. Lohmann, T. Peter

Journal of Climate, 2016, doi: 10.1175/JCLI-D-15-0034.1, [Article]

Did the 2011 Nabro eruption affect the optical properties of ice clouds?

Meyer, A., J.-P. Vernier, B. Luo, U. Lohmann, T. Peter

J. Geophys. Res. Atmos., 120, 2015, doi: 10.1002/2015JD023326 [Article]

Preprints

Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation

Jonas, S., A. Meyer

In review, 2025 [Link]

Prof. Angela Meyer

 

Department of Geoscience and Remote Sensing

Delft University of Technology

Stevinweg 1

2628 CN Delft

The Netherlands

angela.meyer (at) tudelft.nl

Office: Room 2.28

Phone: +31 15 278 8392

School of Engineering and Computer Science

Bern University of Applied Sciences

Quellgasse 10

2501 Biel

Switzerland

angela.meyer (at) bfh.ch

Office: Room O28

Phone: +41 32 321 64 69

  • GS
  • Linkedin
  • GitHub
  • RG
snsf.png
TUDelft.png
bfhlog.png
inn.jpeg
ser.png
bottom of page