The long-term forecasting of specific fuel consumption by the power system of Uzbekistan

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...

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Main Author: Losev Denis
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01101.pdf
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author Losev Denis
author_facet Losev Denis
author_sort Losev Denis
collection DOAJ
description 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 comparison of linear, hyperbolic, logarithmic, exponential and quadratic functions on the use of LSMs to predict specific fuel consumption are presented. The criterion of the least squares method, which is according for using the statistical data of the control sample in the obtained prognostic functions, the standard deviations are found.
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spelling doaj.art-5a0eb87cc90b4b1bbc76eca7b7d3e2902022-12-21T23:50:41ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012160110110.1051/e3sconf/202021601101e3sconf_rses2020_01101The long-term forecasting of specific fuel consumption by the power system of UzbekistanLosev Denis0Joint-stock company «National electric networks of Uzbekistan», National Dispatch CenterThe 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 comparison of linear, hyperbolic, logarithmic, exponential and quadratic functions on the use of LSMs to predict specific fuel consumption are presented. The criterion of the least squares method, which is according for using the statistical data of the control sample in the obtained prognostic functions, the standard deviations are found.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01101.pdf
spellingShingle Losev Denis
The long-term forecasting of specific fuel consumption by the power system of Uzbekistan
E3S Web of Conferences
title The long-term forecasting of specific fuel consumption by the power system of Uzbekistan
title_full The long-term forecasting of specific fuel consumption by the power system of Uzbekistan
title_fullStr The long-term forecasting of specific fuel consumption by the power system of Uzbekistan
title_full_unstemmed The long-term forecasting of specific fuel consumption by the power system of Uzbekistan
title_short The long-term forecasting of specific fuel consumption by the power system of Uzbekistan
title_sort long term forecasting of specific fuel consumption by the power system of uzbekistan
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01101.pdf
work_keys_str_mv AT losevdenis thelongtermforecastingofspecificfuelconsumptionbythepowersystemofuzbekistan
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