Forecasted planning of electricity consumption by energy intensive industry wood processing industry using neuro-fuzzy networks

V. Krysanov; Aleksandr Danilov; Dmitriy N. Afonichev; A. Rutskov

doi:doi:10.12737/6309

Forecasted planning of electricity consumption by energy intensive industry wood processing industry using neuro-fuzzy networks

Published в Forestry Engineering Journal · Volume 4, Issue 3, 2014 · Pages 290–302 · Rubrics: Management. Economics. Organization

DOI 10.12737/6309

Received: 10.11.2014 Accepted: 10.11.2014 Published: 10.11.2014 Language of publication: RUS

Authors

V. Krysanov · Aleksandr Danilov · Dmitriy N. Afonichev ³ · A. Rutskov

3 Voronezh State Agricultural University after Emperor Peter the Great (Department of Electrical Engineering and Automation, Head of Chair)
Russian Federation

ABSTRACT

The structure of the planning of electricity con-sumption used in the largest Russian furniture Holding Company "Furniture Chernozemye", with further transfer of data to the territorial organization of the network. A mathematical model is made. The advantages and disadvan-tages of this approach are analyzed. The appli-cation of neuro-fuzzy networks to increase the accuracy of forward-looking planning is justified. The model and algorithm of the system functioning of forecast planning of electricity consumption of HC «Furniture Chernozemye» on the basis of fuzzy neurocontroller.

KEYWORDS

forecasting consumption of electrical energy neuro-fuzzy networks control systems SmartGRID simulation.

Information References

Authors:

3. Voronezh State Agricultural University after Emperor Peter the Great (Department of Electrical Engineering and Automation, Head of Chair)

Russian Federation

Type:

Article

Pages:

from 290 to 302

Status:

Published

Language:

Russian

Keywords:

forecasting, consumption of electrical energy, neuro-fuzzy networks, control systems, SmartGRID, simulation.

References

1. Solomkin, A. V. Primenenie neyrosetevykh metodov dlya prognozirovaniya potrebleniya elektroenergii [Elektronnyy resurs] / A. V. Solomkin. Elektronika i informatsionnye tekhnologii. - 2009. - № 2 (7). - Rezhim dostupa: http://fetmag.mrsu.ru/

2. Postanovlenie Pravitel´stva Rossiyskoy Federatsii ot 27 dekabrya 2010 g. N 1172 g. «Ob utverzhdenii Pravil optovogo rynka elektricheskoy energii i moshchnosti i o vnesenii izmeneniy v nekotorye akty Pravitel´stva Rossiyskoy Federatsii po voprosam organizatsii funktsionirovaniya optovogo rynka elektricheskoy energii i moshchnosti» [Elektronnyy resurs]. -Rezhim dostupa: http://www.rg.ru/2011/04/05/electro-dok.html.

3. Otsenka i RAB-regulirovanie tarifov [Elektronnyy resurs]. - Rezhim dostupa: http ://pricinginfo. ru/publ/cenoobrazovanie_v_ehnergetike/ocenka_i_rab/17-1-0-59.

4. Kantorovich, S. A. Prognoz potrebleniya elektroenergii [Elektronnyy resurs] / S. A. Kantorovich. - Rezhim dostupa: http://www.basegroup.ru/solutions/case/electra/

5. Krysanov, V. N. Primenenie printsipov neyro-nechetkikh setey (NNS) dlya prognozirovaniya potrebleniya elektroenergii v proizvodstvennoy sfere [Tekst] / V. N. Krysanov, A. L. Rutskov. Vestnik VGTU. - 2013. - T. 9. - № 6-3. - S. 62-66.

6. Leonenkov, A. L. Nechetkoe modelirovanie v srede MATLAB i fuzzy TECH [Tekst] / A. L. Leonenkov. - SPb. : BKhV-Peterburg, 2005. - 736 s.

7. Krysanov, V. N. Voprosy kontseptual´nogo razvitiya Smart Gird v elektroenergetike s primeneniem printsipov iskusstvennykh neyronnykh (INS) i neyro-nechetkikh setey (NNS) [Tekst] / V. N. Kirsanov, K. S. Gamburg, A. L. Rutskov. Elektrotekhnicheskie kompleksy i sistemy upravleniya. - 2014. - № 1.- S. 7-15. EDN: https://elibrary.ru/SCDNNP

This work is licensed under Creative Commons Attribution 4.0 International

Forecasted planning of electricity consumption by energy intensive industry wood processing industry using neuro-fuzzy networks

Confirmation

Регистрация