This course aims to introduce professionals to the knowledge of advanced artificial intelligence (AI) techniques for managing energy generation and consumption systems. Through a theoretical-practical approach, participants will acquire criteria on the use and potential of AI tools in monitoring, prediction and energy management in industrial and tertiary sector facilities. Key concepts on the analysis of large volumes of data and the use of algorithms to identify energy consumption patterns will be addressed, enabling more informed and efficient decision making.
During the training, professionals will acquire skills in the design of information processing procedures, and some examples of artificial intelligence integration software platforms for energy management will be put into practice. The course will focus on applications such as predictive modeling of energy demand, real-time anomaly detection, and process optimization from historical data analysis. Real-world case studies and simulations will be provided so that participants can experience firsthand how AI contributes to improving energy efficiency, reducing costs, and minimizing environmental impact.
At the end of the course, attendees will be prepared to analyze the suitability of AI tools and techniques in their own work environments, including the perspective ability to integrate intelligent systems into existing energy management processes.
The three main objectives of the course are:
The course is aimed at a wide variety of professionals, including sustainability managers and managers, real estate and utility managers, energy efficiency consultants and specialists, energy engineers and technicians, as well as technology and digital transformation professionals. In short, any professional who identifies AI as a potential resource for the development of new functionalities towards more efficient energy management systems.