Forecast strategy using an adaptive fuzzy classification algorithm for load

Forecast is applied in many fields. The determination of system signals, states or parameters of technical and not technical processes allows the solution of higher level tasks, for instance the optimization of complex systems or the generation of decisions. Basic methods of prediction are signal models, analytical, symbolic, cognitive models and state-space models [1], [2], [3], [4], [5]. The problem definition and the process character influence essentially the choice of the model type. The current state of forecast methods is demonstrated in figure 1.