Establishment of mathemati̇cal models for short-term energy producti̇on forecasti̇ng i̇n hydroelectri̇c power plants

Most of the current production forecasting models do not correctly estimate the production of renewable energy sources. Thanks to the models that will be produced with this study, accurate forecasts will be made for the future. The correctness of the mathematical models will be tested with generated using the methods. Short-term production forecasts will be made for hydroelectric power plants with the obtained forecasting models. Thus, it is considered to make a significant contribution to production planning in renewable energy plants. The correctness of the developed mathematical models will be proved by using scientific test methods. With this model, production planning will be done easily and with high accuracy. Methods such as time series, dynamic harmonics, an exponential model, multiple regression analysis, artificial neural networks, clustering algorithm will be used in the formation of mathematical models and the most appropriate method will be determined.