IMPROVING THE ALGORITHM FOR DETERMINING THE EFFECT OF AIR TEMPERATURE ON THE OVERALL ELECTRICAL LOAD OF THE POWER SYSTEM TO IMPROVE THE ACCURACY OF SHORT-TERM FORECASTING
ARTICLE_10_PDF (Українська)

Keywords

algorithm
electric load
air temperature
short-term forecasting алгоритм
електричне навантаження
температура повітря
короткострокове прогнозування

How to Cite

[1]
Черненко, П. and Сичова, В. 2021. IMPROVING THE ALGORITHM FOR DETERMINING THE EFFECT OF AIR TEMPERATURE ON THE OVERALL ELECTRICAL LOAD OF THE POWER SYSTEM TO IMPROVE THE ACCURACY OF SHORT-TERM FORECASTING. Tekhnichna Elektrodynamika. 2 (Feb. 2021), 077. DOI:https://doi.org/10.15407/techned2021.02.077.

Abstract

Based on the research, the article presents three algorithms that allow to select from the overall electrical load (OEL) of the power system technological and temperature components in each hour of the daily schedule, which provides greater accuracy of short-term forecasting (STF) OEL of the power system. Calculations by three algorithms were performed according to Kyivenerho. The analysis of reading temperature sensors on four sources from the point of view of possibility of their application at STF is carried out. References 6, figures 3, tables 3.

https://doi.org/10.15407/techned2021.02.077
ARTICLE_10_PDF (Українська)

References

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Wei Zhao, Tao-tao Dai, Lian-cheng Wang, Ke Lu, Nan Chen. Short-term Load Forecasting Considering Mete-orological Factors and Electric Vehicles. IOP Conference Series: Materials Science and Engineering. Singapore, 14 – 16 September, 2018. Vol. 439. Part 1. Pp. 941-946.

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