Power consumption in the Eastern regions of Russia: prediction issues

Anatoliy Korneev; Konstantin Korneev

doi:10.1051/e3sconf/20197702003

All issues

Volume 77 (2019)

E3S Web Conf., 77 (2019) 02003

References

Open Access

Issue		E3S Web Conf. Volume 77, 2019 International Conference “Regional Energy Policy of Asian Russia”


Article Number		02003
Number of page(s)		7
Section		Methodology and Methods for Studies of Regional Energy Sectors
DOI		https://doi.org/10.1051/e3sconf/20197702003
Published online		25 January 2019

The 2008 February 22 General Scheme No.215-p for allocation of electric power industry objects until 2020 (Application, p. 17). [e-resource]. - Access mode: https://zakonbase.ru/content/part/572036 (Address date: 05 April 2018), in Russian. [Google Scholar]
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S.P. Fillippov. Predicting the power consumption by using the complex of adaptive imitative models. Izvestiya RAN (Proceedings of the Russian Academy of Sciences). Energy Ser., No. 1 (2003) (in Russian) [Google Scholar]
Yu.D. Kononov et al. ol. Methods and models for prediction research into interconnections between power engineering and economy. Novosibirsk: Nauka (Science) Publishers, 178 p. (2009) (in Russian) [Google Scholar]
Methods and models for developing regional power programs / Ed. by B.G. Saneev. - Novosibirsk: Nauka (Science) Siberian Publishing Firm of RAS, 170 p. (2002) (in Russian) [Google Scholar]
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[1] The 2008 February 22 General Scheme No.215-p for allocation of electric power industry objects until 2020 (Application, p. 17). [e-resource]. - Access mode: https://zakonbase.ru/content/part/572036 (Address date: 05 April 2018), in Russian. [Google Scholar]

[2] State Information System in power saving // 2030 Power Strategy of Russia. [e-resource]. - Access mode: <https://gisee.ru/law/others/46961/> - (Address date: 05 April 2018) (in Russian) [Google Scholar]

[3] A.A. Makarov. System analysis of power engineering perspectives. Izvestiya RAN (Proceedings of the Russian Academy of Sciences). Energy Ser., No. 4, (2010) (in Russian) [Google Scholar]

[4] S.P. Fillippov. Predicting the power consumption by using the complex of adaptive imitative models. Izvestiya RAN (Proceedings of the Russian Academy of Sciences). Energy Ser., No. 1 (2003) (in Russian) [Google Scholar]

[5] Yu.D. Kononov et al. ol. Methods and models for prediction research into interconnections between power engineering and economy. Novosibirsk: Nauka (Science) Publishers, 178 p. (2009) (in Russian) [Google Scholar]

[6] Methods and models for developing regional power programs / Ed. by B.G. Saneev. - Novosibirsk: Nauka (Science) Siberian Publishing Firm of RAS, 170 p. (2002) (in Russian) [Google Scholar]

[7] Cyclicity of the present-day economy development. Problem of recession in Russia. Access mode: <https://otherreferats.allbest.ru/economy/00786490_0.html> - Address date: 05 April 2018 (in Russian) [Google Scholar]

[8] Juglar cycles. [e-resource]. - Access mode: <https://ru.wikipedia.org/wiki/> - (Address date: 05 April 2018) (in Russian) [Google Scholar]

[9] A.G. Korneev, G.V. Agafonov, and A.S. Tsapakh. Methodical approaches to long-term prediction of the power consumption in Russia’s eastern regions. Miscellany from the All-Russia Conference (Melentiev Energy Systems Institute SB RAS, 1-3 September 2015) «Power engineering of Russia in the 21st Century. Innovative development and management». Irkutsk, (14 November 2015, e-version) (in Russian) [Google Scholar]

[10] Project of the Russian Federation Power Strategy until 2035 (The 01 February 2017 edition). [e-resource]. URL: <https://minenergo.gov.ru/node/1920> (Address date: 28 June 2018) (in Russian) [Google Scholar]