APA (7th ed.) Citation

Erkol, H. O., & Tabak, A. (2026). Improved performance of short-term wind power forecasting system using a hybrid deep learning model with data pre-processing. Cluster Computing: The Journal of Networks, Software Tools and Applications, 29(9), . https://doi.org/10.1007/s10586-026-06393-2

Chicago Style (17th ed.) Citation

Erkol, Huseyin Oktay, and Abdulsamed Tabak. "Improved Performance of Short-term Wind Power Forecasting System Using a Hybrid Deep Learning Model with Data Pre-processing." Cluster Computing: The Journal of Networks, Software Tools and Applications 29, no. 9 (2026). https://doi.org/10.1007/s10586-026-06393-2.

MLA (9th ed.) Citation

Erkol, Huseyin Oktay, and Abdulsamed Tabak. "Improved Performance of Short-term Wind Power Forecasting System Using a Hybrid Deep Learning Model with Data Pre-processing." Cluster Computing: The Journal of Networks, Software Tools and Applications, vol. 29, no. 9, 2026, https://doi.org/10.1007/s10586-026-06393-2.