Cleaning process in animal husbyndries is of important meaning. Robotizing the process will contribute to improvement of the hygiene and reduce the human labour. In this paper, a mobile robot with a module for cleaning animal husbandry complexes has been developed and modeled in a 3D environment. Its constructive characteristics are presented and the individual systems that make it up are described. The principle of operation of the robot and the individual modules are described in detail. A robot teleoperation system has been developed.

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.