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A comprehensive country-based day-ahead wind power generation forecast model by coupling numerical weather prediction data and CatBoost with feature selection methods for Turkey
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Short-term wind speed forecast for Urla wind power plant: A hybrid approach that couples weather research and forecasting model, weather patterns and SCADA data with comprehensive data preprocessing
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72hr forecast of wind power in Manix0307sa, Turkey by using the WRF model coupled to WindSim
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72hr forecast of wind power in Mani x0307 sa Turkey by using the WRF model coupled to WindSim
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Identification of an appropriate low flow forecast model for the Meuse River
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DEMİREL MEHMET CÜNEYD,BOOIJ MARTIJN J
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Forecast for Market Clearing Price with Artificial Neural Networks in Day Ahead Market
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Wind power generation forecast by coupling numerical weather prediction model and gradient boosting machines in Yahyalı wind power plant
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ÖZEN CEM, DİNÇ UMUR, DENİZ ALİ, KARAN HALDUN
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Discussion of "Development of exceedance probability streamflow forecast" by Thomas C. Piechota, Francis H. S. Chiew, John A. Dracup, and Thomas A. McMahon
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Determining Roughness Angle of Limestone Using Optical LaserScanner
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Daily peak ozone forecast in Istanbul
International Journal of Remote Sensing, Vol. 31, No. 2, Ocak 2010, s. 551-561, ISSN: 0143-1161
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Assessment of suicide attempts by drug overdose using weather forecast and GIS: a pilot study in Istanbul
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Flow forecast by SWAT model and ANN in Pracana basin Portugal
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DEMİREL MEHMET CÜNEYD,VENANCİO ANABELA,KAHYA ERCAN
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Identification of appropriate lags and temporal resolutions for low flow indicators in the River Rhine to forecast low flows with different lead times
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72hr forecast of wind power in Manisa Turkey by using the WRF model coupled to WindSim
2012 International Conference on Renewable Energy Research and Applications (ICRERA), Nagasaki, Japan/JAPONYA, 11 Kasım 2012
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Flow forecast by SWAT model and ANN in Pracana basin Portugal
Advances in Engineering Software, Vol. 40, No. 7, Temmuz 2009, s. 467-473, ISSN: 09659978
KAHYA ERCAN
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Application of Fuzzy Linear Programming in Food Industry for Improving Demand Forecast Accuracy
3rd International Conference on Computational and Experimental Science and Engineering (ICCESEN 2016), Antalya/TÜRKİYE, 19 Ekim 2016, s. 374-374
TAŞ MEHMET,TEKE ÇAĞATAY,GÜNEY BAHA
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Spatial Forecast of Production and Operation Variables from Wind Power Plants Using Multi-Semivariogram Method
9th International Symposium on Atmospheric Sciences (ATMOS 2019), 23 Eylül 2019
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Could Neighbourhood Ties Still Be Important for the Migrants in a Metropolitan City?
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ERGİNLİ BÜRGE ELVAN,BAYCAN TÜZİN
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Multilayer Capacitor Model of the Earth s Upper CrustELECO 2003 Tübitak 2005
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