ANALYZING AND FORECASTING TURKEY'S RENEWABLE ENERGY EFFICIENCY IN THE WORLD VIA DBSCAN CLUSTERING AND FTS FORECASTING
<p class="MsoNormal" style="margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:125%"><span style="mso-bidi-font-size:12.0pt;line-height:125%;font-family:"Times New Roman",serif">As in all areasaround the world, the importance of sustainability in the field of energy isincreasing, and for this reason, the transition to renewable energy issupported by all countries.</span> <span style="mso-bidi-font-size:12.0pt;line-height:125%;font-family:"Times New Roman",serif">Many factors such as theclimate crisis, the inadequacy and depletion of resources, and the increase inthe world population are further accelerating the transition to clean andrenewable energy, that is, the green transformation process.</span> <span style="mso-bidi-font-size:12.0pt;line-height:125%;font-family:"Times New Roman",serif">Alldeveloped and developing countries that are trying to manage these processes inthe best way possible include important targets and projects for the transitionto renewable energy in their policies and development plans. Türkiye is acountry with high geographical diversity and rich energy resources and allkinds of projects and breakthroughs in the field of renewable energy are beingrapidly realized.</span> <span style="mso-bidi-font-size:12.0pt;line-height:125%;font-family:"Times New Roman",serif">The motivation of the study is toobserve Türkiye's energy efficiency and development in the field of renewableenergy in comparison with other countries. In this study, countries (a total of201 countries) were grouped according to their similarities in terms ofrenewable energy efficiency and Türkiye's energy efficiency was evaluatedcomparatively.</span> <span style="mso-bidi-font-size:12.0pt;line-height:125%;font-family:"Times New Roman",serif">In the study, GMM (Gaussian Mixture Model)algorithm was used as a method in the grouping phase and parameters such ascountries' renewable energy capacities, renewable energy</span> <span style="mso-bidi-font-size:12.0pt;line-height:125%;font-family:"Times New Roman",serif">shareof electricity capacity (%) were considered.</span> <span style="mso-bidi-font-size:12.0pt;line-height:125%;font-family:"Times New Roman",serif">In addition, byusing the specified parameters, a future projection was drawn by making forecastingin terms of renewable energy efficiency for Holt’s Linear Trend method. Theresults obtained from the study provide realistic and important predictions forthe future in terms of renewable energy efficiency for Türkiye.<o:p></o:p></span>
Authors
- Yağmur ŞAN
- Ercan Şenyiğit
Publication Details
- Journal
- Erciyes University - AVESIS
- Published
- 2025-12-31
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00