Explainable Hybrid Semi-parametric Model for Prediction of Power Generated by Wind Turbines
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63775-9_21
Reference9 articles.
1. Aerodynamics of Horizontal Axis Wind Turbines, chap. 3, pp. 39–136. John Wiley & Sons, Ltd (2011)
2. van Bekkum, M., de Boer, M., van Harmelen, F., Meyer-Vitali, A., Teije, A.t.: Modular design patterns for hybrid learning and reasoning systems. Appl. Intell. 51(9), 6528–6546 (2021)
3. Carpintero-Renteria, M., Santos-Martin, D., Lent, A., Ramos, C.: Wind turbine power coefficient models based on neural networks and polynomial fitting. IET Renew. Power Gener. 14(11), 1841–1849 (2020)
4. Castillo, O.C., Andrade, V.R., Rivas, J.J.R., González, R.O.: Comparison of power coefficients in wind turbines considering the tip speed ratio and blade pitch angle. Energies 16(6), 2774 (2023)
5. de la Mata, F.F, Gijón, A., Molina-Solana, M., Gómez-Romero, J.: Physics-informed neural networks for data-driven simulation: advantages, limitations, and opportunities. Physica Stat. Mech. Appl. 610, 128415 (2023)
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