The Modeling of the Electric Consumption of Turkey and Estimation Using a Quasi-Newton Algorithm up to the Year 2012.
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| Title: | The Modeling of the Electric Consumption of Turkey and Estimation Using a Quasi-Newton Algorithm up to the Year 2012. |
|---|---|
| Authors: | DemIr, A. S.1, Taskin, H.1 |
| Source: | Energy Sources Part B: Economics, Planning & Policy. Jan2011, Vol. 6 Issue 1, p106-110. 5p. |
| Subjects: | Electric power, Energy consumption, Algorithms, Estimation theory, Mathematical optimization, Supply & demand |
| Geographic Terms: | Turkey |
| Abstract: | Determining the amount of electric consumption in a country for forthcoming years is very important for some precautions should be made. In this article, electric consumption need was modeled using electric consumption amounts for Turkey in the previous years and forecasting the demand of electricity until 2012. In the application process, the quasi-Newton algorithm, one of the traditional optimization techniques, was used. [ABSTRACT FROM AUTHOR] |
| Copyright of Energy Sources Part B: Economics, Planning & Policy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 57138334 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Modeling of the Electric Consumption of Turkey and Estimation Using a Quasi-Newton Algorithm up to the Year 2012. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22DemIr%2C+A%2E+S%2E%22">DemIr, A. S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Taskin%2C+H%2E%22">Taskin, H.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energy+Sources+Part+B%3A+Economics%2C+Planning+%26+Policy%22">Energy Sources Part B: Economics, Planning & Policy</searchLink>. Jan2011, Vol. 6 Issue 1, p106-110. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electric+power%22">Electric power</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+%26+demand%22">Supply & demand</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Turkey%22">Turkey</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Determining the amount of electric consumption in a country for forthcoming years is very important for some precautions should be made. In this article, electric consumption need was modeled using electric consumption amounts for Turkey in the previous years and forecasting the demand of electricity until 2012. In the application process, the quasi-Newton algorithm, one of the traditional optimization techniques, was used. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energy Sources Part B: Economics, Planning & Policy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=57138334 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/15567240903047418 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 106 Subjects: – SubjectFull: Electric power Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Estimation theory Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Supply & demand Type: general – SubjectFull: Turkey Type: general Titles: – TitleFull: The Modeling of the Electric Consumption of Turkey and Estimation Using a Quasi-Newton Algorithm up to the Year 2012. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: DemIr, A. S. – PersonEntity: Name: NameFull: Taskin, H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 15567249 Numbering: – Type: volume Value: 6 – Type: issue Value: 1 Titles: – TitleFull: Energy Sources Part B: Economics, Planning & Policy Type: main |
| ResultId | 1 |
