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Article . 2019
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Predict Power Generation Using the 'Extrapolation of the Trend

Authors: Adylova, E.;

Predict Power Generation Using the 'Extrapolation of the Trend

Abstract

This article analyzes the forecasts developed by us, as well as the forecast of electricity consumption. Based on the calculation, the dynamics of electricity generation and energy consumption were analyzed by types of economic activity in Kyrgyzstan. A linear correlation coefficient was also calculated, and a linear determination coefficient was determined on the basis of this linear correlation coefficient. Comparing the obtained coefficient of determination with the Cheddock scale, a high relationship is determined between the generation and consumption of electricity in the Kyrgyz Republic. In order to find the elasticity coefficient and predict the production and consumption of electricity, we used the regression equation. And in the end, it was determined that the growth in output by 1% allows consumption growth by 0.5%.

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Keywords

forecast,, trend extrapolation,, electric power,, dynamic analysis, correlation coefficient,

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green