This paper purposes to provide an user-friendly intelligent tool, integrating fuzzy controllers and multi-agent techniques, able to motivate and to support behavioral change of energy end-users, having as main objective to re-define the role of energy consumer in “prosumer” in the context of a reorganized decentralized energy market, now reported to intelligent grids (smart grids). Integration of interactive technologies in a decision support system for microgrids energy management optimizes: functioning from an economical point of view, active control of distributed generation, controlled consumption, loading the storage equipment. The added value of the proposed tool consists of integrating decision theory and artificial intelligence concepts in monitoring and control actions, allowing “prosumers”: to make energy usage data accessible and to demonstrate that energy savings can be achieved without compromising comfort levels.
 Alsaraj A., Stuffle G., Zydek D., Mousavinezhad H., Development of fuzzy logic controller to enhance the performance of a homing guided missile, Advances in Electrical and Computer Engineering, 2015, 228-234.
 Wang L., Mendel J., Generating fuzzy rules by learning from examples, IEEE Transactions on Systems Man, and Cybernetics, 1992, 22(6).
 Hagras H., Callaghan V., Calley M., Clarke G., A hierarchical fuzzy-genetic multi agent architecture for intelligent buildings online learning, adaptation and control, Information Science, 2003, 150:33-57.