@article{article_213652, title={Evaluation of Turkey’s Hydroelectric Potential by Using Statistical Techniques}, journal={Social Sciences}, volume={6}, pages={59–68}, year={2011}, DOI={10.12739/10.12739}, author={Kasap, Pelin and Yavuz, Arzu Altın and Ergül, Baris}, keywords={Ridge regression, Least squares, Multicollinearity, Multiple linear regression, Hydroelectric energy,}, abstract={In today’s world, known energy resources are rapidly consumed; therefore, seeking alternative energy resources is of crucial importance. Recurrent, renewable and raw material-free energy resources are now the focus of investment in many countries. Hydroelectric energy is one of the renewable energy resources in which many countries are investing, especially the European Union member states. Despite having a high potential for hydroelectricity, Turkey still makes use of only part of this potential. To use and scientifically evaluate this potential, this study statistically examined the effect of variables such as installed capacity, operation time and the amount of incoming water on hydroelectric energy generation in Turkey. Least Squares (LS) and Ridge regression (RR) techniques were used to determine the relation between the variables.}, number={3}, publisher={Cevdet Emin EKİNCİ}