Energy generation and electrical engineering

Short-term Forecasting of Related Meteorological Parameters of Ice Formation on Overhead Power Lines Based on the Time Windows Method

Authors

M. M. Cheremisin
Kharkiv Petro Vasylenko National Technical University of Agriculture ROR
O. A. Savchenko
Kharkiv Petro Vasylenko National Technical University of Agriculture ROR
A. I. Sereda
Kharkiv Petro Vasylenko National Technical University of Agriculture ROR
S. V. Diubko
Kharkiv Petro Vasylenko National Technical University of Agriculture ROR

Keywords

overhead power line ice artificial neural network

Abstract

There has been proposed a method for predicting the accompanying meteorological parameters of glaze formation on the ОPL based on the apparatus of the theory of artificial neural networks.

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How to Cite

[1]
“Short-term Forecasting of Related Meteorological Parameters of Ice Formation on Overhead Power Lines Based on the Time Windows Method”, Вісник ВПІ, no. 5, pp. 58–62, Oct. 2017, Accessed: Nov. 11, 2026. Available: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/2116

Author Biographies

M. M. Cheremisin, Kharkiv Petro Vasylenko National Technical University of Agriculture

Cand. Sc. (Eng.), Professor, Professor of the Chair of Power Supply and Energy Management

O. A. Savchenko, Kharkiv Petro Vasylenko National Technical University of Agriculture

Cand. Sc. (Eng.), Assistant Professor, Assistant Professor of the Chair of Power Supply and Energy Management

A. I. Sereda, Kharkiv Petro Vasylenko National Technical University of Agriculture

 Cand. Sc. (Eng.), Assistant Professor, Assistant Professor of the Chair of Power Supply and Energy Management

S. V. Diubko, Kharkiv Petro Vasylenko National Technical University of Agriculture

Assistant of the Chair of Power Supply and Energy Management

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