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Study on the load forecasting of power system based on gray forecasting model.

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Title: Study on the load forecasting of power system based on gray forecasting model.
Authors: Yan Wang1, Wengang Zhou2 zhouwengang@zknu.edu.cn, Yang Zhao3
Source: Metallurgical & Mining Industry. 2015, Issue 10, p89-95. 7p.
Subjects: Load forecasting (Electric power systems), Gray forecasting model, Data analysis
Abstract: This paper analyzes the impact of power system load in various areas, and studies the necessity of the forecasting on it in detail. It gets a reasonable control of the power system load, and conducts a forecasting of medium and long term on it, which have a very significant impact on society and economy. Then this paper conducts forecasting and testing on power system load based on gray forecasting model, obtains corresponding predicted value by taking some of the data for example, compares the value with the actual value, and finally finds out that the accuracy of forecasting is good by using posterior variance examination. [ABSTRACT FROM AUTHOR]
Copyright of Metallurgical & Mining Industry is the property of Ukrmetallurginform STA 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
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Header DbId: egs
DbLabel: Engineering Source
An: 115932749
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Study on the load forecasting of power system based on gray forecasting model.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Yan+Wang%22">Yan Wang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wengang+Zhou%22">Wengang Zhou</searchLink><relatesTo>2</relatesTo><i> zhouwengang@zknu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang+Zhao%22">Yang Zhao</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Metallurgical+%26+Mining+Industry%22">Metallurgical & Mining Industry</searchLink>. 2015, Issue 10, p89-95. 7p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Load+forecasting+%28Electric+power+systems%29%22">Load forecasting (Electric power systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Gray+forecasting+model%22">Gray forecasting model</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper analyzes the impact of power system load in various areas, and studies the necessity of the forecasting on it in detail. It gets a reasonable control of the power system load, and conducts a forecasting of medium and long term on it, which have a very significant impact on society and economy. Then this paper conducts forecasting and testing on power system load based on gray forecasting model, obtains corresponding predicted value by taking some of the data for example, compares the value with the actual value, and finally finds out that the accuracy of forecasting is good by using posterior variance examination. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Metallurgical & Mining Industry is the property of Ukrmetallurginform STA 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.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 89
    Subjects:
      – SubjectFull: Load forecasting (Electric power systems)
        Type: general
      – SubjectFull: Gray forecasting model
        Type: general
      – SubjectFull: Data analysis
        Type: general
    Titles:
      – TitleFull: Study on the load forecasting of power system based on gray forecasting model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yan Wang
      – PersonEntity:
          Name:
            NameFull: Wengang Zhou
      – PersonEntity:
          Name:
            NameFull: Yang Zhao
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 20760507
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            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Metallurgical & Mining Industry
              Type: main
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