View in EDS HTML Full Text PDF Full Text

Boosting prairie dog optimizer for optimal planning of multiple wind turbine and photovoltaic distributed generators in distribution networks considering different dynamic load models.

Saved in:
Bibliographic Details
Title: Boosting prairie dog optimizer for optimal planning of multiple wind turbine and photovoltaic distributed generators in distribution networks considering different dynamic load models.
Authors: Elseify MA; Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, 83513, Egypt., Hashim FA; Faculty of Engineering, Helwan University, Cairo, Egypt.; Faculty of Information Technology, Middle East University, Amman, 11831, Jordan., Hussien AG; Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden. abdelazim.hussien@liu.se.; Faculty of Science, Fayoum University, Fayoum, 63514, Egypt. abdelazim.hussien@liu.se., Abdel-Mawgoud H; Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt., Kamel S; Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt.
Source: Scientific reports [Sci Rep] 2024 Jun 19; Vol. 14 (1), pp. 14173. Date of Electronic Publication: 2024 Jun 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38898067
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Boosting prairie dog optimizer for optimal planning of multiple wind turbine and photovoltaic distributed generators in distribution networks considering different dynamic load models.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Elseify+MA%22">Elseify MA</searchLink>; Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, 83513, Egypt.<br /><searchLink fieldCode="AU" term="%22Hashim+FA%22">Hashim FA</searchLink>; Faculty of Engineering, Helwan University, Cairo, Egypt.; Faculty of Information Technology, Middle East University, Amman, 11831, Jordan.<br /><searchLink fieldCode="AU" term="%22Hussien+AG%22">Hussien AG</searchLink>; Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden. abdelazim.hussien@liu.se.; Faculty of Science, Fayoum University, Fayoum, 63514, Egypt. abdelazim.hussien@liu.se.<br /><searchLink fieldCode="AU" term="%22Abdel-Mawgoud+H%22">Abdel-Mawgoud H</searchLink>; Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt.<br /><searchLink fieldCode="AU" term="%22Kamel+S%22">Kamel S</searchLink>; Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypt.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2024 Jun 19; Vol. 14 (1), pp. 14173. <i>Date of Electronic Publication: </i>2024 Jun 19.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38898067
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-024-64667-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 14173
    Titles:
      – TitleFull: Boosting prairie dog optimizer for optimal planning of multiple wind turbine and photovoltaic distributed generators in distribution networks considering different dynamic load models.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Elseify MA
      – PersonEntity:
          Name:
            NameFull: Hashim FA
      – PersonEntity:
          Name:
            NameFull: Hussien AG
      – PersonEntity:
          Name:
            NameFull: Abdel-Mawgoud H
      – PersonEntity:
          Name:
            NameFull: Kamel S
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 19
              M: 06
              Text: 2024 Jun 19
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1