Utilizing ANN for improving the WRF wind forecasts in Türkiye
Author:
Funder
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-01003-w.pdf
Reference54 articles.
1. Akataş N (2015) Kısa Süreli Rüzgar Tahmini İçin Wrf Model Performansının Analizi Ve Rüzgar Gücü Uygulamaları [Masters Thesis, İstanbul Technical University Institute of Science and Technology]. Retrieved from http://hdl.handle.net/11527/15236. Accessed 06.01.2023
2. Andraju P, Kanth AL, Kumari KV et al (2019) Performance Optimization of Operational WRF Model Configured for Indian Monsoon Region. Earth Syst Environ 3:231–239. https://doi.org/10.1007/s41748-019-00092-2
3. Astsatryan H, Grigoryan H, Poghosyan A et al (2021) Air temperature forecasting using artificial neural network for Ararat valley. Earth Sci Inform 14:711–722. https://doi.org/10.1007/s12145-021-00583-9
4. Atalay M, Çelik E (2017) Büyük Veri Analizinde Yapay Zekâ Ve Makine Öğrenmesi Uygulamaları [Artificial Intelligence and Machine Learning Applications in Big Data Analysis]. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 9(22):155–172. https://doi.org/10.20875/makusobed.309727
5. Ataseven B (2013) Yapay Sinir Ağları İle Öngörü Modellemesi. Öneri Dergisi 10(39):101–115. Retrieved from https://dergipark.org.tr/en/pub/maruoneri/issue/17900/187806. Accessed 13.10.2022
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