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The use of regression models for estimating the standards of electric power losses in its transfer by territorial network companies
- Authors: Goldshtein V.1, Kubarkov Y.1, Rygalov A.1, Revyakina E.1, Stepanov V.2
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Affiliations:
- Samara State Technical University
- Samara State Technical University, Samara, Russian Federation
- Issue: Vol 13, No 1 (2014)
- Pages: 107-111
- Section: MECHANICAL ENGINEERING AND POWER ENGINEERING
- URL: https://journals.ssau.ru/vestnik/article/view/1702
- DOI: https://doi.org/10.18287/1998-6629-2014-0-1(43)-107-111
- ID: 1702
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Abstract
The paper deals with the issue of forecasting electric power losses for a five-year period in conditions of RAB-regulation. The use of multicriteria regression analysis and systems of visualisation of the obtained data in order to take well-founded decisions is proposed.
About the authors
V. Goldshtein
Samara State Technical University
Author for correspondence.
Email: aees@rambler.ru
Doctor of Science (Engineering), Professor
Automated Electrical Power Systems Department
Russian FederationYu. Kubarkov
Samara State Technical University
Email: tsara.cuba@yandex.ru
Candidate of Science (Engineering), Associate Professor
Power Plants Department
Russian FederationA. Rygalov
Samara State Technical University
Email: alexeixox@gmail.com
Postgraduate student
Power Plants Department
Russian FederationE. Revyakina
Samara State Technical University
Email: aees@rambler.ru
Student
Automated Electrical Power Systems Department
Russian FederationV. Stepanov
Samara State Technical University, Samara, Russian Federation
Email: aees@rambler.ru
Postgraduate Student
Automated Electrical Power Systems Department
Russian FederationReferences
- The Federal law of 26.03.2003 N 35-FZ (an edition of 06.12.2011) «About power industry» (with amendment and addi-tions, coming into force from 06.01.2012).
- No. 347-e/4 order FST of 04.12.2009.
- Methodical instructions on the cal-culation of adjustable tariffs and prices of electric (thermal) energy in the retail market. Resolution of Federal Energy Regulatory Commission of the Russian Federation of 31.07.2002 No. 49-E/8. List of changes and additions. Resolution of Federal Energy Regulatory Commission of Russia of May 14, 2003. No. 37-E/1.
- Strizhov V.V., Krymova E.A. Metody vybora regressionnykh modeley [Methods of a choosing regression models]. Moscow: VTs RAN Publ, 2010. 60 p.
- Dreyper N., Smith G. Prikladnoy regressionnyy analiz [Applied regression analysis]. Moscow: Vilyams publishing house. 2007.
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