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The article deals with the organizational features of the Federal law of the Russian Federation on "transportation security compliance requirements to ensure transport security objects (buildings, structures), not related to transport infrastructure objects and located on land adjacent to transport infrastructure objects in the security zones of land transport. Systematized the activities required for the implementation of such transport facilities. In the work used techniques of systems analysis, comparative method, methods of theoretical knowledge (formalisation), obshhelogicheskie methods and techniques of research (analysis, synthesis, classification, the analogy).

In this paper we propose an electric load forecasting algorithms based on artificial neural networks. An improved method for selecting the most appropriate structure of the neural network based on the coefficient characterizing the homogeneity of the samples is proposed.