The project addresses the problem of the optimal Energy Management in steel plant through a software demonstrator characterized by a new IoT/IIoT architecture connecting two network rings to bridge the energy market and the internal energy management including utilities.

The solution will make extensive use of Artificial Intelligence, Machine Learning and Optimization techniques to develop new data-driven models with evolutionary capabilities able to “learn from experience”.

Superior forecasting and reliable capabilities will be integrated leading to optimized planning and resource scheduling.

Security will be included considering technologies like Blockchain or others to securely certify transactions of energy exchange.