Guideline to choose a forecasting tool with fuzzy logic support

The aim of this paper is to dress up a guideline to choose a suitable forecasting technique with fuzzy logic support. First of all, the smart grids, framework for low-voltage networks with distributed energy from renewable energy sources, are presented with advantages, limitations and challenges. In the second part, a cross view of the forecasting problem is given in order to establish a common perception of it. In this way, forecasting approaches are studied from both the producers and consumers points of view. Finally, a guideline to choose a forecasting tool with fuzzy logic is given as a supporting tool for low-voltage with distributed energy generation networks capacity allocation and congestion management. With this "decision support tool" the energy market energy participants should allow a correct prediction of the available capacity of transmission lines and cross-border interconnections, so that it can be efficiently allocated to market actors.