Improvement of forecasting methods of industrial enterprises electrical loadings on the basis of the theory of images identification

Authors

  • B. S. Rohalskyi
  • Yu. A. Lysohor

Keywords:

identification of images, class, alphabet, set of probable realizations, set of attributes of object, distance, similarity, measure of affinity, average loading

Abstract

The forecasting effectiveness of electrical using the theory of images identification is evaluated. The examples of numerical accounts of forecasting of average loadings are given on the basis of the statistical approaches and theory of images identification.

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Published

2010-11-12

How to Cite

[1]
B. S. Rohalskyi and Y. A. Lysohor, “Improvement of forecasting methods of industrial enterprises electrical loadings on the basis of the theory of images identification”, Вісник ВПІ, no. 2, pp. 59–68, Nov. 2010.

Issue

No 2 (2005)

Section

Energy generation and electrical engineering

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