The article presents models to predict electricity prices in Turkey's evolving market. By using optimization techniques, the models aim to minimize errors in price predictions for the next day. The study compared the performance of these models with a common method called dynamic regression. Results show that the customized models predict prices with 30% less error than dynamic regression.