Currently, I am working for Dept. Mech. Eng. in University of Aveiro (UA), as a post-doctoral fellowship for the “Smart Green Home” project, granted by BOSCH Co, rely on new strategies for the supervision and control of energy consumption that improve energy efficiency and user comfort in buildings, based on the use of artificial intelligence (AI) and deep learning. In order to start this project, I passed an extensive online lessons on AI, regression, clustering, classification, deep learning, TensorFlow and artificial neural network (ANN). Different methods of multi-objective optimization (particle swarm, differential evolution) and architecture of ANN have been integrated into Python code platform to be used in the smart supervised control. For co-simulation, appropriate model is developed in PtolemyII in the platform of Building Control Virtual Test Bed (BCVTB) software to synchronize Python code and EnergyPlus software. ©