Wind Energy Forecasting with Artificial Intelligence Techniques: A Review
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-42520-3_28
Reference51 articles.
1. Wang, H., Wang, H., Jiang, G., Li, J., Wang, Y.: Early fault detection of wind turbines based on operational condition clustering and optimized deep belief network modeling. Energies 12(6), 984 (2019)
2. Pandit, R., Infield, D.: Gaussian process operational curves for wind turbine condition monitoring. Energies 11(7), 1631 (2018)
3. Marugán, A.P., Márquez, F.P.G., Perez, J.M.P., Ruiz-Hernández, D.: A survey of artificial neural network in wind energy systems. Appl. Energy 228, 1822–1836 (2018)
4. Torres-Carrión, P.V., González-González, C.S., Aciar, S., Rodríguez-Morales, G.: Methodology for systematic literature review applied to engineering and education. In: 2018 IEEE Global Engineering Education Conference (EDUCON), pp. 1364–1373 (2018)
5. Tasnim, S., Rahman, A., Oo, A.M.T., Haque, M.E.: Wind power prediction in new stations based on knowledge of existing stations: a cluster based multi source domain adaptation approach. Knowl.-Based Syst. 145, 15–24 (2018)
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