Development of a smart energy management system, capable to manage in best way each power module (genset, grid, fuel cell, Li-ion battery, photovoltaic and wind turbine) to supply variable factory load and store the excess energy produced. The solution exploits advanced control strategies (MPC) that in real time manage optimally the power modules and integrated AI models to predict on variable time horizon the load consumption and the renewable energy availability. The solution was firstly developed in a simulation environment to calibrate virtually the strategies and after implemented on RT target that interact with the field plant.