ВРАХУВАННЯ СПОЖИВАННЯ ЕЛЕКТРОЕНЕРГІЇ ЕНЕРГОЄМНИМИ ПІДПРИЄМСТВАМИ ПРИ КОРОТКОСТРОКОВОМУ ПРОГНОЗУВАННІ ЕЛЕКТРИЧНОГО НАВАНТАЖЕННЯ ЕНЕРГОСИСТЕМИ

P.O. Chernenko; O.V. Martyniuk; V.O. Miroshnyk

No. 5 (2014), Electric Power Systems and Installations

No. 5 (2014)

Electric Power Systems and Installations

ACCOUNTING FOR ELECTRICITY CONSUMPTION OF ENERGY ENTERPRISES FOR SHORT – TERM FORECASTING OF ELECTRICAL LOAD OF POWER SYSTEM

Published 2014-08-11

P.O. Chernenko⁺⁻
O.V. Martyniuk⁺⁻
V.O. Miroshnyk⁺⁻

P.O. Chernenko

Institute of Electrodynamics of the National Academy of Sciences of Ukraine, pr. Peremohy, 56, Kyiv, 03057, Ukraine

O.V. Martyniuk

Institute of Electrodynamics of the National Academy of Sciences of Ukraine, pr. Peremohy, 56, Kyiv, 03057, Ukraine

V.O. Miroshnyk

Institute of Electrodynamics of the National Academy of Sciences of Ukraine, pr. Peremohy, 56, Kyiv, 03057, Ukraine

ARTICLE_11_PDF (Українська)

Keywords

power system
electrical load
short-term forecasting
energy-intensive industries
artificial neural network енергосистема
електричне навантаження
короткострокове прогнозування
енергоємні підприємства
штучна нейронна мережа

How to Cite

[1]

Chernenko, P. et al. 2014. ACCOUNTING FOR ELECTRICITY CONSUMPTION OF ENERGY ENTERPRISES FOR SHORT – TERM FORECASTING OF ELECTRICAL LOAD OF POWER SYSTEM. Tekhnichna Elektrodynamika. 5 (Aug. 2014), 035.

Abstract

The paper demonstrates the benefits of metering electricity of intensive enterprises (IE) in solving the problem of shortterm forecasting of the total electrical load (TEL) of power system (PS). The modeling and forecasting of TEL PS based on using of artificial neural networks. The correctness of preparation of original data for the network training was provided preliminary statistical analysis of information. Decomposition of the total electrical load with the release in a separate component the loads of intensive enterprises allowed to improve mathematical models of influence on TEL of meteorological factors and improve the accuracy of the short-term forecasting TEL in the PS with a predominance of industrial load. References 3, tables 2, figures 2.

ARTICLE_11_PDF (Українська)

References

Bansal R.C., Pandey J.C. Load forecasting using artificial intelligence techniques: a literature survey // International Journal of Computer Applications in Technology. – Vol. 22. – 2005. – Pp. 109 – 119.

Martyniuk O., Chernenko P. Algorithms and software for three-level short-term electric load forecasting of united power system of Ukraine // Enerhetyka ta Elektryfikatsiia. – № 7. – 2012. – Pp. 3 – 8. (Ukr)

Chernenko P., Martyniuk O., Popov S., Bodyanskiy Ye. Comparative analysis of two approaches to solving the problem of shortterm forecasting of the total electrical load of power system // Tekhnichna elektrodynamika. – № 3. – 2013. – Pp. 61–72. (Ukr)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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ACCOUNTING FOR ELECTRICITY CONSUMPTION OF ENERGY ENTERPRISES FOR SHORT – TERM FORECASTING OF ELECTRICAL LOAD OF POWER SYSTEM

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