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Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis.

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Τίτλος: Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis.
Συγγραφείς: NOMIYAMA, FUMITOSHI1,2, MURAKAMI, TAKUMA2, ASAI, JOJI2, TAKANO, HIROTAKA3, MURATA, JUNICHI3
Πηγή: Electrical Engineering in Japan. Aug2016, Vol. 196 Issue 3, p13-21. 9p. 2 Diagrams, 2 Charts, 4 Graphs.
Θεματικοί όροι: *Solar radiation, *Power resources forecasting, *Factor analysis, *Electric power systems, *Linear equations
Περίληψη: SUMMARY A method is proposed for forecasting global solar radiation. The method is based on weather information using binary trees and factor analysis. The feature of this method is that it is possible to use a simple linear forecasting equation. The method has been tested on meteorological and global solar radiation data obtained at several observation sites, and the results show that it is a promising means of maintaining the balance between demand and supply of electric power in power systems of the near future with a large number of photovoltaic systems installed. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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DbLabel: Academic Search Index
An: 114604359
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1215.32470703125
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  Data: Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis.
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  Data: <searchLink fieldCode="AR" term="%22NOMIYAMA%2C+FUMITOSHI%22">NOMIYAMA, FUMITOSHI</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22MURAKAMI%2C+TAKUMA%22">MURAKAMI, TAKUMA</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22ASAI%2C+JOJI%22">ASAI, JOJI</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22TAKANO%2C+HIROTAKA%22">TAKANO, HIROTAKA</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22MURATA%2C+JUNICHI%22">MURATA, JUNICHI</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Electrical+Engineering+in+Japan%22">Electrical Engineering in Japan</searchLink>. Aug2016, Vol. 196 Issue 3, p13-21. 9p. 2 Diagrams, 2 Charts, 4 Graphs.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Solar+radiation%22">Solar radiation</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+resources+forecasting%22">Power resources forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+systems%22">Electric power systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Linear+equations%22">Linear equations</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: SUMMARY A method is proposed for forecasting global solar radiation. The method is based on weather information using binary trees and factor analysis. The feature of this method is that it is possible to use a simple linear forecasting equation. The method has been tested on meteorological and global solar radiation data obtained at several observation sites, and the results show that it is a promising means of maintaining the balance between demand and supply of electric power in power systems of the near future with a large number of photovoltaic systems installed. [ABSTRACT FROM AUTHOR]
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        Value: 10.1002/eej.22751
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        Text: English
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        PageCount: 9
        StartPage: 13
    Subjects:
      – SubjectFull: Solar radiation
        Type: general
      – SubjectFull: Power resources forecasting
        Type: general
      – SubjectFull: Factor analysis
        Type: general
      – SubjectFull: Electric power systems
        Type: general
      – SubjectFull: Linear equations
        Type: general
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      – TitleFull: Day-Ahead Global Solar Radiation Forecasting Using Binary Trees and Factor Analysis.
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            NameFull: NOMIYAMA, FUMITOSHI
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            NameFull: MURAKAMI, TAKUMA
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            NameFull: ASAI, JOJI
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            NameFull: TAKANO, HIROTAKA
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            NameFull: MURATA, JUNICHI
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            – D: 01
              M: 08
              Text: Aug2016
              Type: published
              Y: 2016
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              Value: 196
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