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A historic Review of Grey Forecasting Models.

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Title: A historic Review of Grey Forecasting Models.
Authors: Naiming Xie1,2 xienaiming@nuaa.edu.cn, Ruizhi Wang1,2
Source: Journal of Grey System. 2017, Vol. 29 Issue 4, p1-29. 29p.
Subjects: Gray forecasting model, Energy management, Economic forecasting, Technological innovations, Problem solving
Abstract: This manuscript aims to summarize the evolution of grey forecasting models and their applications in recent three decades and digs out several valuable research directions of grey forecasting models. Firstly, general process of grey forecasting modelling and theoretical principles of grey models GM (1, 1) and GM (1, N) were defined. Subsequently, theoretical breakthroughs and real practical applications were summarized and detailed discussed. Theoretical breakthroughs emphasized on modelling sequences generating methods, optimization of the background values and grey derivative, parameters solving and optimization, novel model construction and models ' properties analysis. While practical applications covered economic forecasting and management analysis, energy analysis and management, agriculture and resources forecasting, environment and calamity forecasting, etc. Finally, several possible research trends of grey forecasting models are proposed. Framework of grey forecasting approach could be referred to solve different real applications. Summarized thinking about the trend of grey forecasting models and applications could point out the directions of grey forecasting research and help to find valuable questions. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Grey System is the property of Research Information 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: 126769825
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PubType: Academic Journal
PubTypeId: academicJournal
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  Group: Ti
  Data: A historic Review of Grey Forecasting Models.
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  Data: <searchLink fieldCode="AR" term="%22Naiming+Xie%22">Naiming Xie</searchLink><relatesTo>1,2</relatesTo><i> xienaiming@nuaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ruizhi+Wang%22">Ruizhi Wang</searchLink><relatesTo>1,2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Grey+System%22">Journal of Grey System</searchLink>. 2017, Vol. 29 Issue 4, p1-29. 29p.
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  Data: <searchLink fieldCode="DE" term="%22Gray+forecasting+model%22">Gray forecasting model</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+management%22">Energy management</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+forecasting%22">Economic forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This manuscript aims to summarize the evolution of grey forecasting models and their applications in recent three decades and digs out several valuable research directions of grey forecasting models. Firstly, general process of grey forecasting modelling and theoretical principles of grey models GM (1, 1) and GM (1, N) were defined. Subsequently, theoretical breakthroughs and real practical applications were summarized and detailed discussed. Theoretical breakthroughs emphasized on modelling sequences generating methods, optimization of the background values and grey derivative, parameters solving and optimization, novel model construction and models ' properties analysis. While practical applications covered economic forecasting and management analysis, energy analysis and management, agriculture and resources forecasting, environment and calamity forecasting, etc. Finally, several possible research trends of grey forecasting models are proposed. Framework of grey forecasting approach could be referred to solve different real applications. Summarized thinking about the trend of grey forecasting models and applications could point out the directions of grey forecasting research and help to find valuable questions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Grey System is the property of Research Information 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: 29
        StartPage: 1
    Subjects:
      – SubjectFull: Gray forecasting model
        Type: general
      – SubjectFull: Energy management
        Type: general
      – SubjectFull: Economic forecasting
        Type: general
      – SubjectFull: Technological innovations
        Type: general
      – SubjectFull: Problem solving
        Type: general
    Titles:
      – TitleFull: A historic Review of Grey Forecasting Models.
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      – PersonEntity:
          Name:
            NameFull: Naiming Xie
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          Name:
            NameFull: Ruizhi Wang
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      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2017
              Type: published
              Y: 2017
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              Value: 29
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Journal of Grey System
              Type: main
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