Solar Irradiance: Types and Applications

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Title: Solar Irradiance: Types and Applications
Description: Solar Irradiance: Types and Applications first presents intelligent models for sizing, parameters forecasting and control of a photovoltaic system on the basis of a modified fuzzy neural net. The modified fuzzy neural net provides automatic fulfillment and modification of all proposed intelligent models. Following this, the authors discuss modeling direct normal irradiance at the Earth's surface. In addition to looking traditionally at direct normal irradiance as a fuel for concentrating solar systems, its use in computing the sunshine number is also explored. The closing study explores the potential of using simple empirical and artificial neural network models to estimate global solar radiation on a horizontal surface. Algeria was used as a case study and four statistical parameters were chosen to assess the performances of each model or approach.
Authors: Daryl M. Welsh
Resource Type: eBook.
Subjects: Solar energy, Solar radiation--Computer simulation, Solar radiation--Measurement
Categories: SCIENCE / Physics / Astrophysics
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2634372
RelevancyScore: 1097
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1096.64697265625
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  Data: Solar Irradiance: Types and Applications
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  Data: Solar Irradiance: Types and Applications first presents intelligent models for sizing, parameters forecasting and control of a photovoltaic system on the basis of a modified fuzzy neural net. The modified fuzzy neural net provides automatic fulfillment and modification of all proposed intelligent models. Following this, the authors discuss modeling direct normal irradiance at the Earth's surface. In addition to looking traditionally at direct normal irradiance as a fuel for concentrating solar systems, its use in computing the sunshine number is also explored. The closing study explores the potential of using simple empirical and artificial neural network models to estimate global solar radiation on a horizontal surface. Algeria was used as a case study and four statistical parameters were chosen to assess the performances of each model or approach.
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  Data: <searchLink fieldCode="AR" term="%22Daryl+M%2E+Welsh%22">Daryl M. Welsh</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Solar+energy%22">Solar energy</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+radiation--Computer+simulation%22">Solar radiation--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+radiation--Measurement%22">Solar radiation--Measurement</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 621.47
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Solar energy
        Type: general
      – SubjectFull: Solar radiation--Computer simulation
        Type: general
      – SubjectFull: Solar radiation--Measurement
        Type: general
    Titles:
      – TitleFull: Solar Irradiance: Types and Applications
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Daryl M. Welsh
      – PersonEntity:
          Name:
            NameFull: Daryl M. Welsh
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 26
              M: 11
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9781536187861
            – Type: isbn-electronic
              Value: 9781536187991
          Titles:
            – TitleFull: Solar Irradiance: Types and Applications
              Type: main
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