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  1. 2022
  2. Published

    Experimentally validated three-dimensional computational aerodynamics of wind turbine blade sections featuring leading edge erosion cavities

    Campobasso, S., Castorrini, A., Cappugi, L. & Bonfiglioli, A., 31/01/2022, In: Wind Energy. 25, 1, p. 168-189 22 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. 2021
  4. Published

    Application of Spectral Kurtosis on vibration signals for the detection of cavitation in centrifugal pumps

    Mousmoulis, G., Yiakopoulos, C., Aggidis, G., Antoniadis, I. & Anagnostopoulos, I., 30/11/2021, In: Applied Acoustics. 182, 17 p., 108289 .

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Machine Learning for Photovoltaic Systems Condition Monitoring: A Review

    Berghout, T., Benbouzid, M., Ma, X., Durovic, S. & Mouss, L-H., 15/11/2021, IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 5 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  6. Published

    A Stacked GRU-RNN-based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation

    Xia, M., Shao, H., Ma, X. & de Silva, C. W., 31/10/2021, In: IEEE Transactions on Industrial Informatics. 17, 10, p. 7050-7059 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Assessing the energy potential of modernizing the European hydropower fleet

    Quaranta, E., Aggidis, G., Boes, R., Comoglio, C., De Michele, C., Ritesh Patro, E., Georgievskaia, E., Harby, A., Kougias, I., Muntean, S., Pérez-Díaz, J., Romero–Gomez, P., Rosa-Clot, M., Schleiss, A., Vagnoni, E., Wirth, M. & Pistocchi, A., 15/10/2021, In: Energy Conversion and Management. 246, 15 p., 114655.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects

    Berghout, T., Benbouzid, M., Bentrcia, T., Ma, X., Djurović, S. & Mouss, L-H., 3/10/2021, In: Energies. 14, 19, 25 p., 6316.

    Research output: Contribution to Journal/MagazineLiterature reviewpeer-review

  9. Published

    A rationalised CFD design methodology for Turgo turbines to enable local manufacture in the Global South

    Butchers, J., Benzon, S., Williamson, S., Booker, J. & Aggidis, G., 1/10/2021, In: Energies. 14, Energies 2021, 23 p., 6250.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion

    Cappugi, L., Castorrini, A., Bonfiglioli, A., Minisci, E. & Campobasso, S., 1/10/2021, In: Energy Conversion and Management. 245, 17 p., 114567.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review

    Benbouzid, M., Berghout, T., Sarma, N., Djurović, S., Wu, Y. & Ma, X., 20/09/2021, In: Energies. 14, 18, 33 p., 5967.

    Research output: Contribution to Journal/MagazineLiterature reviewpeer-review

  12. Published

    Flux-Weakening Control of Dual Three-Phase PMSM Based on Vector Space Decomposition Control

    Hu, Y., Li, Y., Ma, X., Li, X. & Huang, S., 31/07/2021, In: IEEE Transactions on Power Electronics . 36, 7, p. 8428-8438 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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