Bildiri Koleksiyonu
https://hdl.handle.net/11421/17300
2024-03-28T20:23:42ZSpatial analysis of unemployment rate with literacy rate and socioeconomic development index for cities of Turkey
https://hdl.handle.net/11421/17778
Spatial analysis of unemployment rate with literacy rate and socioeconomic development index for cities of Turkey
Mert Kantar, Yeliz; Günay, Aktaş, S.
The objective of the study is to investigate the spatial pattern of unemployment rate with socio economic development index (SDI) and literacy rate for 81 cities of Turkey and also the spatial correlation between these variables. To observe spatial pattern of the considered variables, we firstly utilize mapping analysis. Then, statistic of spatial autocorrelation, known as Moran's I, is employed. It was found that while there is a positive and significant global Moran's I value for unemployment rate with SDI, the negative Moran's I is observed between unemployment rate and literacy rate. Results of mapping and spatial correlation analysis show that there is spatial clustering of unemployment rate, literacy rate and SDI of 81 cities of Turkey. Moreover, we consider classical linear and spatial regression analysis to model unemployment rate. It was found that the spatial error model is the best for modeling unemployment rate.
25th International Business Information Management Association Conference - Innovation Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2015 -- 7 May 2015 through 8 May 2015 -- -- 114272
2015-01-01T00:00:00ZAnalysis of the modified weibull distribution for estimation of wind speed distribution
https://hdl.handle.net/11421/17776
Analysis of the modified weibull distribution for estimation of wind speed distribution
Yenilmez, İsmail; Mert Kantar, Yeliz; Arık, İbrahim; Usta, İlhan
Finding suitable wind speed distribution is one of the most important tasks for the correct estimation of wind energy potential of the specified region. The Weibull distribution is the well-known and suggested distribution in estimating wind energy potential. However, in order to predict wind energy more correctly, new and flexible statistical distributions have been proposed in the last decade. In this study, we introduce a new modified Weibull distribution (MWD) for modelling wind speed and estimating wind power density and also we test MWD versus the classical Weibull distribution on real wind speed data measured in various regions of Turkey. The results of the analysis indicate that MWD suits well for most of the examined wind data cases. Therefore, MWD can be alternatively used for assessment of wind energy potential. Copyright 2015 ACM.
International Association of Researchers (IARES);International Journal of Information Technology and Web Engineering;The Istanbul Kemerburgaz University; 2015 International Conference on Engineering and MIS, ICEMIS 2015 -- 24 September 2015 through 26 September 2015 -- -- 119163
2015-01-01T00:00:00ZEvaluation of robust estimation methods in estimating weibull parameters for wind energy application
https://hdl.handle.net/11421/17777
Evaluation of robust estimation methods in estimating weibull parameters for wind energy application
Arık, I.; Mert Kantar, Yeliz; Usta, İlhan; Yenilmez, İsmail
Two-parameter Weibull distribution has been widely-used reference distribution in wind energy studies and thus its parameter estimation methods have been well-studied in the literature. However, the literature have generally focused on nonrobust methods which produce unreliable results in the cases of wind speed data with outliers. In this study, we deal with robust estimation methods of the Weibull distribution for wind energy applications. The considered robust methods are evaluated for both clear and contaminated real wind data cases. It was found that the considered robust methods provides reliable results when it is taken into account in the case of real wind speed data cases. Also, the certain robust methods for the Weibull distribution yield less mean power density error than classical methods in the case of wind speed data with outliers. As a result, it is deduced from analysis that robust methods can be simultaneously used with efficient estimators to check the estimated reliability of the results on wind power
International Association of Researchers (IARES);International Journal of Information Technology and Web Engineering;The Istanbul Kemerburgaz University; 2015 International Conference on Engineering and MIS, ICEMIS 2015 -- 24 September 2015 through 26 September 2015 -- -- 119163
2015-01-01T00:00:00ZA statistical investigation on wind energy potential of Northwest of Turkey
https://hdl.handle.net/11421/17774
A statistical investigation on wind energy potential of Northwest of Turkey
Usta, I.; Mert Kantar, Yeliz; Arık, İbrahim; Yenilmez, İsmail
The northwest of Turkey is an important region which is a rapidly developing industrial center. Thus, energy analysis of this region has a high importance for the region's geopolitical, economic and demographic structure. In this study, wind energy potential of three regions in northwest of Turkey is evaluated using wind speed data collected from three stations. The Weibull, Rayleigh and generalized Gamma distributions are used for modeling wind speed data and estimating wind power. It is concluded from analyses that one of the mentioned regions has moderate level wind power potential which can be adequate for mechanical energy applications such as local consumption, agricultural applications and water pumping, other two regions are fairly good locations in terms of wind generation potential
ACM;IARES;Ibn Zohr University;IEEE; 2016 International Conference on Engineering and MIS, ICEMIS 2016 -- 22 September 2016 through 24 September 2016 -- -- 124851
2016-01-01T00:00:00Z