Simulation of electrical loads in electrical network nodes with decentralized productions

This paper presents the simulation of electrical loads from consumers and from a distributed generation (DG) in network nodes in using a neural network method and an algorithm of feed-forward neural networks. The factor dasiatimepsila is the unique independent value, which influences the studied parameter. In the algorithm, we introduce a process for the stability of the equilibrium of impulsive delay neural networks. We compare the results obtained by the simulation of electrical loads using artificial neural networks and by the statistical method of the exponential equalization.