The primary goal of this paper is to develop a robust model for forecasting electric power consumption in Bulgaria. Leveraging historical forecast data from Open-Meteo for weather-related features and ENTSOE data, our objective is to create an accurate prediction tool that can assist in optimizing energy management within the country. By achieving this goal, we aim to improve energy reliability, support data-driven decision making in energy policy, and promote sustainable energy practices in Bulgaria. This predictive model will empower us to proactively address fluctuations in energy demand, particularly during extreme weather conditions, and will contribute to the efficient allocation of electrical resources.