Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс:
http://elar.urfu.ru/handle/10995/131777
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Baev, I. A. | en |
dc.contributor.author | Solovyeva, I. A. | en |
dc.contributor.author | Dzyuba, A. P. | en |
dc.date.accessioned | 2024-04-17T11:44:31Z | - |
dc.date.available | 2024-04-17T11:44:31Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Baev I. A. Forecasting of the industrial power consumption in the conditions of volatility price signals / I. A. Baev, I. A. Solovyeva, A. P. Dzyuba // Economy of Region. — 2012. — Iss. 4. — P. 109-116. | en |
dc.identifier.issn | 2411-1406 | online |
dc.identifier.issn | 2072-6414 | |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/131777 | - |
dc.description.abstract | Article is devoted to problems of purchase of the electric power in the wholesale market for the industry of Russia. Authors considered the mechanism of pricing and various combinations between the prices of the market for days forward and the prices of the balancing market. Favorable and adverse ratios between the prices of the balancing market and submitted plans for power consumption are revealed. The urgency of forecasting of the industrial power consumption, allowing providing a sustainable development not only power supply systems and the power companies, but also region economy as a whole is proved. Recommendations about improvement of forecasting of the power consumption, based on the account not only the factors defining requirement for the electric power, but also factors considering tendencies of the balancing market are offered. As methods of forecasting sharing of methods of the regression analysis and method of expert evaluations is offered. Results of research will allow to increase accuracy of forecasting and to reduce financial losses not only at level of the concrete enterprises, but also at region level as a whole. | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | ru | en |
dc.publisher | Institute of Economics, Ural Branch of the Russian Academy of Sciences | en |
dc.publisher | Институт экономики Уральского отделения РАН | ru |
dc.relation.ispartof | Экономика региона. 2012. Выпуск 4 | ru |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.source | Econ. Reg. | 2 |
dc.source | Economy of Region | en |
dc.subject | BALANCING MARKET PRICES | ru |
dc.subject | EFFICIENCY | ru |
dc.subject | FORECASTING ELECTRICITY | ru |
dc.subject | INDUSTRY | ru |
dc.subject | MODELING | ru |
dc.subject | POWER CONSUMPTION | ru |
dc.title | Forecasting of the industrial power consumption in the conditions of volatility price signals | en |
dc.type | Review | en |
dc.type | info:eu-repo/semantics/review | en |
dc.type | info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.17059/2012-4-10 | - |
dc.identifier.scopus | 84991475820 | - |
local.description.firstpage | 109 | - |
local.description.lastpage | 116 | - |
local.issue | 4 | - |
local.identifier.eid | 2-s2.0-84991475820 | - |
Располагается в коллекциях: | Economy of Regions |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
2012_04_010.pdf | 3,03 MB | Adobe PDF | Просмотреть/Открыть |
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.