Forecasting of solar and wind power using LSTM RNN for load frequency control in isolated microgrid.

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Title: Forecasting of solar and wind power using LSTM RNN for load frequency control in isolated microgrid.
Authors: Kumar, Dhananjay1, Mathur, H. D.1, Bhanot, S.1, Bansal, Ramesh C.2 rcbansal@ieee.org
Source: International Journal of Modelling & Simulation. Aug2021, Vol. 41 Issue 4, p311-323. 13p.
Database: Academic Search Ultimate
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An: 150210883
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  Data: Forecasting of solar and wind power using LSTM RNN for load frequency control in isolated microgrid.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Modelling+%26+Simulation%22">International Journal of Modelling & Simulation</searchLink>. Aug2021, Vol. 41 Issue 4, p311-323. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=150210883
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/02286203.2020.1767840
    Languages:
      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 311
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      – TitleFull: Forecasting of solar and wind power using LSTM RNN for load frequency control in isolated microgrid.
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            NameFull: Kumar, Dhananjay
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            NameFull: Mathur, H. D.
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            NameFull: Bhanot, S.
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            NameFull: Bansal, Ramesh C.
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            – D: 01
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 02286203
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              Value: 41
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              Value: 4
          Titles:
            – TitleFull: International Journal of Modelling & Simulation
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