Solution Based on Artificial Intelligence in Smart Grid

The article has as main goal the optimisation of energy generation and load in a power system with distributed power from renewable energy resources (DP-RES), by designing and implementation an intelligent informatics platform for monitoring, forecasting and control. The added values of the article consist to create and implement a software application based on artificial intelligence for the low voltage grid with DP-RES. It integrates artificial intelligence concepts in monitoring, supervising, forecasting and control actions. The software application allows customers: to control electricity consumption of the used devices, to reduce their monthly bills, carbon emissions, energy demand during peak periods and to use more efficient the energy from RES. The innovative software tool expressing the complexity of the proposed solution is gived by the integration of artificial intelligence in load and produced energy from RES forecasting.