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A hybrid economic indices based short-term load forecasting system.

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Title: A hybrid economic indices based short-term load forecasting system.
Authors: Lin, Cheng-Ting1, Chou, Li-Der1 cld@csie.ncu.edu.tw, Chen, Yi-Ming2, Tseng, Li-Ming1
Source: International Journal of Electrical Power & Energy Systems. Jan2014, Vol. 54, p293-305. 13p.
Subjects: Economic indicators, Electricity, Electric power, Economic forecasting, Performance evaluation, Recessions
Abstract: Highlights: [•] We propose business indicator and stock index combined load forecasting model. [•] Taiwan island-wide hourly load demands from 2008 to 2011 are used as a case study. [•] Leading index based business indicators have better load forecasting performance. [•] The forecasting accuracy is improved by 30.39% in the economic recession period. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical Power & Energy Systems is the property of Elsevier B.V. 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
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Header DbId: egs
DbLabel: Engineering Source
An: 90433303
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A hybrid economic indices based short-term load forecasting system.
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Cheng-Ting%22">Lin, Cheng-Ting</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chou%2C+Li-Der%22">Chou, Li-Der</searchLink><relatesTo>1</relatesTo><i> cld@csie.ncu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Yi-Ming%22">Chen, Yi-Ming</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Tseng%2C+Li-Ming%22">Tseng, Li-Ming</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+Power+%26+Energy+Systems%22">International Journal of Electrical Power & Energy Systems</searchLink>. Jan2014, Vol. 54, p293-305. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Economic+indicators%22">Economic indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Electricity%22">Electricity</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power%22">Electric power</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+forecasting%22">Economic forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Recessions%22">Recessions</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: [•] We propose business indicator and stock index combined load forecasting model. [•] Taiwan island-wide hourly load demands from 2008 to 2011 are used as a case study. [•] Leading index based business indicators have better load forecasting performance. [•] The forecasting accuracy is improved by 30.39% in the economic recession period. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Electrical Power & Energy Systems is the property of Elsevier B.V. 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.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.ijepes.2013.07.017
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 293
    Subjects:
      – SubjectFull: Economic indicators
        Type: general
      – SubjectFull: Electricity
        Type: general
      – SubjectFull: Electric power
        Type: general
      – SubjectFull: Economic forecasting
        Type: general
      – SubjectFull: Performance evaluation
        Type: general
      – SubjectFull: Recessions
        Type: general
    Titles:
      – TitleFull: A hybrid economic indices based short-term load forecasting system.
        Type: main
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            NameFull: Lin, Cheng-Ting
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            NameFull: Chou, Li-Der
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            NameFull: Chen, Yi-Ming
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            NameFull: Tseng, Li-Ming
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            – D: 01
              M: 01
              Text: Jan2014
              Type: published
              Y: 2014
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              Value: 01420615
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              Value: 54
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            – TitleFull: International Journal of Electrical Power & Energy Systems
              Type: main
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