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The main idea of this paper is to develop a multi-agent system, integrating advanced control algorithms and acting scenarios, for optimizing energy management in an intelligent microgrid. In order to achieve this objective, it is proposed a flexible intelligent tool based on multi-agents, able to give alternatives for action to prosumers, through a specialized interface. In this respect, firstly are presented aspects related to the multi- agents (MAS) integration in smart grids? control. In the second part the wor...

This article proposes a software tool, based on artificial intelligence technics, to grid operators and energy companies, to optimize the power system. Precisely, it uses pattern recognition capabilities of neural networks, in order to enable a higher share of renewable energy to consumers. The applied analysis on PV power and other related electrical grid data, such as smart energy meter readings, are based on pattern recognition technics. The neural networks used for this approach will identify days of the week ...