The article discusses a new way to predict and manage energy usage in non-domestic buildings more efficiently. By using machine learning and occupancy data, the system can automatically adjust energy consumption based on real-time occupancy patterns. This approach helps save energy and reduce costs by detecting abnormal energy usage. The study shows that this method is effective in improving energy efficiency in buildings.