Akademik Veri Yönetim Sistemi
Yükseköğretim Kurumları Destekli Proje, BAP Araştırma Projesi, 2025 - 2026
This project aims to model global renewable energy production and demand forecasts using Monte Carlo Simulation (MCS). The variable nature of renewable energy sources creates uncertainties in energy demand forecasting and traditional methods are inadequate to fully address these uncertainties. MCS provides reliable forecasts by modelling fluctuations in energy production and potential future scenarios in a more reliable way. In this study, the time-dependent production data of different renewable energy sources, namely wind, solar will be analysed, and the growth trends and correlations among energy sources will be examined. Firstly, the development of renewable energy on a global scale will be revealed by visualising total renewable energy production trends. Then, the distribution of renewable energy resources by country will be analysed, geopolitical energy preferences will be analysed by determining which country invests more in which resource. An important stage of the study is to examine whether different energy sources grow together through correlation analysis. For example, it will be investigated whether solar and wind energy tend to grow at the same time, whereas hydroelectricity acts as an independent variable. In addition, renewable energy production in developed and developing countries will be compared, investment differences and energy policies between countries will be analysed. Production differences between continents will be analysed and it will be determined which region is switching to renewable energy faster. The main objective of the project is to create future energy production forecasts using Monte Carlo Simulation and to minimise uncertainties regarding renewable energy. MCS will model the most likely energy scenarios taking into account economic, environmental and technological variables, thus providing reliable data to decision makers. This study is of great importance for developing renewable energy policies, ensuring energy supply security and determining investment strategies. The current state and future prospects of global renewable energy production will be evaluated supported by statistical and data-driven inferences and will provide important contributions towards sustainable energy transition.