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pro vyhledávání: '"Zhukov, Aleksei"'
High penetration of renewable energy sources coupled with the decentralization of transport and heating loads in future power systems will result in even more complex unit commitment problem solution using energy storage system scheduling for efficie
Externí odkaz:
http://arxiv.org/abs/1911.04054
Autor:
Sidorov, Denis, Tao, Qing, Muftahov, Ildar, Zhukov, Aleksei, Karamov, Dmitriy, Dreglea, Aliona, Liu, Fang
Renewable-energy-based grids development needs new methods to maintain the balance between the load and generation using the efficient energy storages models. Most of the available energy storages models do not take into account such important featur
Externí odkaz:
http://arxiv.org/abs/1906.02959
Autor:
Muftahov, Ildar, Sidorov, Denis, Zhukov, Aleksei, Panasetsky, Daniil, Foley, Aoife, Li, Yong, Tynda, Aleksandr
Development of reliable methods for optimised energy storage and generation is one of the most imminent challenges in moder power systems. In this paper an adaptive approach to load leveling problem using novel dynamic models based on the Volterra in
Externí odkaz:
http://arxiv.org/abs/1608.05221
Akademický článek
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Akademický článek
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Publikováno v:
GPS Solutions; Jan2021, Vol. 25 Issue 1, p1-9, 9p
Publikováno v:
Zhukov, A V, Sidorov, D N & Foley, A M 2017, ' Random forest based approach for concept drift handling : Analysis of Images, Social Networks and Texts: 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers ', Paper presented at 5th International Conference on the Analysis of Images, Social Networks and Texts, Yekaterinburg, Russian Federation, 07/04/2016-09/04/2016 pp. 69-77 .
Concept drift has potential in smart grid analysis because the socio-economic behaviour of consumers is not governed by the laws of physics. Likewise there are also applications in wind power forecasting. In this paper we present decision tree ensemb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2607::3d373620a113753073cdd092da997999
https://pure.qub.ac.uk/en/publications/random-forest-based-approach-for-concept-drift-handling(2dbe8a89-7435-4c67-a605-6418ed0027d7).html
https://pure.qub.ac.uk/en/publications/random-forest-based-approach-for-concept-drift-handling(2dbe8a89-7435-4c67-a605-6418ed0027d7).html
Autor:
KURBATSKY VICTOR GRIGORIEVICH, TOMIN NIKITA VICTOROVICH, SPIRYAEV VADIM ALEKSANDROVICH, LEAHY PAUL, SIDOROV DENIS NIKOLAEVICH, ZHUKOV ALEKSEI VITALIEVICH
Publikováno v:
Известия Иркутского государственного университета. Серия: Математика.
A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition
Autor:
Panasetsky, Daniil, Tomin, Nikita, Voropai, Nikolai, Kurbatsky, Victor, Zhukov, Aleksei, Sidorov, Denis
Publikováno v:
2015 IEEE Eindhoven PowerTech; 2015, p1-6, 6p