2020
DOI: 10.1051/e3sconf/202021601101
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The long-term forecasting of specific fuel consumption by the power system of Uzbekistan

Abstract: The article considers the possibility of using the least squares method (LSM) for long-term forecasting of the parameters of the regime of electric power systems. There is presented least squares method for predicting the parameters of the regime of electric power systems. It is shown that, based on the least-squares method, it is possible to obtain prognostic equations, as well as coefficients of approximating functions necessary for the formation of these equations. The results of the analysis of the compari… Show more

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Cited by 5 publications
(2 citation statements)
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“…(5) y=f(x)= -0.000009х 5 +0.0005х 4 -0.0054х 3 -0.0488x 2 +0.6941х+25.687 (6) We will make the necessary calculations and, according to the criterion of the least squares method (LSM) (1), we determine an approximating function whose sum of the squared deviations is the smallest [20]:…”
Section: The Results Of Calculation Experimentsmentioning
confidence: 99%
“…(5) y=f(x)= -0.000009х 5 +0.0005х 4 -0.0054х 3 -0.0488x 2 +0.6941х+25.687 (6) We will make the necessary calculations and, according to the criterion of the least squares method (LSM) (1), we determine an approximating function whose sum of the squared deviations is the smallest [20]:…”
Section: The Results Of Calculation Experimentsmentioning
confidence: 99%
“…Statistical analysis was done according to percentages to compare between samples using SPSS V.9 computer software [15,16].…”
Section: Discussionmentioning
confidence: 99%