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This paper proposes a hybrid smart grid integrating wind, photovoltaic and batteries into an AC bus. The wind speed and solar irradiance variables are characterized with experimental data from a meteorological station and the generators are sized according to the power demand of the Mechatronics building in the UADY Faculty of Engineering. A management system based on multiagents is designed in order to measure and control the loads inside the building. The knowledge base of the multi agent system is aided with contrains functions and power generation forecast using neural networks.