Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption

Developed new and useful regression models are used to predict the power consumption. An experimental analysis of the quality and behavior of regression models in several methods of the operational forecasting of electricity consumption. Optimal method operational forecasting electricity.

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Main Authors: A. M. Kumaritov, A. E. Dzgoev, D. K. Gasieva, E. N. Nartikoeva, O. R. Babochiev
Format: Article
Language:English
Published: Kazan State Power Engineering University 2017-12-01
Series:Известия высших учебных заведений: Проблемы энергетики
Subjects:
Online Access:https://www.energyret.ru/jour/article/view/86
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author A. M. Kumaritov
A. E. Dzgoev
D. K. Gasieva
E. N. Nartikoeva
O. R. Babochiev
author_facet A. M. Kumaritov
A. E. Dzgoev
D. K. Gasieva
E. N. Nartikoeva
O. R. Babochiev
author_sort A. M. Kumaritov
collection DOAJ
description Developed new and useful regression models are used to predict the power consumption. An experimental analysis of the quality and behavior of regression models in several methods of the operational forecasting of electricity consumption. Optimal method operational forecasting electricity.
format Article
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institution OA Journals
issn 1998-9903
language English
publishDate 2017-12-01
publisher Kazan State Power Engineering University
record_format Article
series Известия высших учебных заведений: Проблемы энергетики
spelling doaj-art-e3838a9abaca4a028f42ec33e2062e242025-08-20T01:53:25ZengKazan State Power Engineering UniversityИзвестия высших учебных заведений: Проблемы энергетики1998-99032017-12-0103-4172810.30724/1998-9903-2015-0-3-4-17-2886Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumptionA. M. Kumaritov0A. E. Dzgoev1D. K. Gasieva2E. N. Nartikoeva3O. R. Babochiev4Северо-Кавказский горно-металлургический институт (Государственный технологический университет) СКГМИ (ГТУ)Северо-Кавказский горно-металлургический институт (Государственный технологический университет) СКГМИ (ГТУ)Северо-Кавказский горно-металлургический институт (Государственный технологический университет) СКГМИ (ГТУ)Северо-Кавказский горно-металлургический институт (Государственный технологический университет) СКГМИ (ГТУ)Северо-Кавказский горно-металлургический институт (Государственный технологический университет) СКГМИ (ГТУ)Developed new and useful regression models are used to predict the power consumption. An experimental analysis of the quality and behavior of regression models in several methods of the operational forecasting of electricity consumption. Optimal method operational forecasting electricity.https://www.energyret.ru/jour/article/view/86method of sliding matrixanalysis of experimental dataprediction of electric energy consumptionmathematical statistics
spellingShingle A. M. Kumaritov
A. E. Dzgoev
D. K. Gasieva
E. N. Nartikoeva
O. R. Babochiev
Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption
Известия высших учебных заведений: Проблемы энергетики
method of sliding matrix
analysis of experimental data
prediction of electric energy consumption
mathematical statistics
title Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption
title_full Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption
title_fullStr Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption
title_full_unstemmed Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption
title_short Experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption
title_sort experimental analysis of quality and conduct regression models in the mathod of operational forecasting power consumption
topic method of sliding matrix
analysis of experimental data
prediction of electric energy consumption
mathematical statistics
url https://www.energyret.ru/jour/article/view/86
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AT aedzgoev experimentalanalysisofqualityandconductregressionmodelsinthemathodofoperationalforecastingpowerconsumption
AT dkgasieva experimentalanalysisofqualityandconductregressionmodelsinthemathodofoperationalforecastingpowerconsumption
AT ennartikoeva experimentalanalysisofqualityandconductregressionmodelsinthemathodofoperationalforecastingpowerconsumption
AT orbabochiev experimentalanalysisofqualityandconductregressionmodelsinthemathodofoperationalforecastingpowerconsumption