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Dosyalar Tarih Yazarlar Canal, Zafer. In this thesis, one-step ahead wind speed forecasting is performed. Six approaches based on linear prediction methods are employed for this purpose. The first approach features the autoregressive process AR with the model order eight. These information criterias selected the same autoregressive model with an order of eight, which is shown as AR 8.

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Wind energy is an environmentally friendly, profitable, and renewable energy resource. Wind energy eployment is increasing in the last two decades. This study combines applications of Geographical Information System and Multi-Criteria- Decision-Making Methodology to obtain fast results supported with visual documentation. In this scope, eight standard criteria such as wind speed, water depth, bird migration lines are applied and nvestigated in detail by using Geographical Information System. It is found that there is sufficient wind speed t the shallow level of the sea. English Turkish English. Research Article. TR EN. Create Research Close. References [1] M. Satir, F.

Research Article. Kemalreis Barbaros class. In other projects.

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Destekleyen Kurum -. Determining of different inundated land use in Salyan plain during the Kura river flood through GIS and remote sensing tools. International Journal of Engineering and Geosciences, 3 3 , Aksoy, H. Hydrological and hydraulic models for determination of flood-prone and flood inundation areas. Proceedings of the International Association of Hydrological Sciences, , Artun, O. Avrupa Bilim ve Teknoloji Dergisi, 20 , Utilities Policy, 37,

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English Turkish English. Research Article. Create Research Close. Supporting Institution -. Thanks -. References Aghayev, A. Determining of different inundated land use in Salyan plain during the Kura river flood through GIS and remote sensing tools. International Journal of Engineering and Geosciences, 3 3 , Aksoy, H.

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In first case, autoregressive model with an exogenous input, which is denoted as ARX is featured. Two different models are performed in this case. EW USV. These information criterias selected the same autoregressive model with an order of eight, which is shown as AR 8. Pomeroy, M. Besio, F. Create Research Close. Kucuksari and M. Wind energy eployment is increasing in the last two decades. Turk Defence in Turkish. DefenceTurk in Turkish. TCG Bodrum F was decommissioned.

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X formerly Twitter. Second approach employs the autoregressive moving average process ARMA. Two different models are performed in this case. Bosphorous Naval News. Arrambide, I. The model is run in two parts: the first part has a higher resolution and goes out to hours 7 days in the future, the second part runs from to hours 16 days at a lower resolution. TCG Bodrum F was decommissioned. Energy, vol. Blackhowski, A. Ferrari, G.