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Multi-Objective Optimal Allocation of Shunt Compensators in Distribution Networks Using Artificial Intelligence Techniques

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Title: Multi-Objective Optimal Allocation of Shunt Compensators in Distribution Networks Using Artificial Intelligence Techniques
Authors: Esmail, Alaa Sami, Keshta, Hossam E., Ali, Mahmoud Nour
Source: 2026 ICEENG International Conference for Innovations in Power and Control Systems (IPCS) Innovations in Power and Control Systems (IPCS), 2026 ICEENG International Conference for. :1-6 May, 2026
Relation: 2026 ICEENG International Conference for Innovations in Power and Control Systems (IPCS)
Database: IEEE Xplore Digital Library
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DbLabel: IEEE Xplore Digital Library
An: edseee.11604343
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PubType: Conference
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  Data: Multi-Objective Optimal Allocation of Shunt Compensators in Distribution Networks Using Artificial Intelligence Techniques
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  Data: 2026 ICEENG International Conference for Innovations in Power and Control Systems (IPCS) Innovations in Power and Control Systems (IPCS), 2026 ICEENG International Conference for. :1-6 May, 2026
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  Data: 2026 ICEENG International Conference for Innovations in Power and Control Systems (IPCS)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/IPCS69631.2026.11604343
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        PageCount: 6
        StartPage: 1
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      – TitleFull: Multi-Objective Optimal Allocation of Shunt Compensators in Distribution Networks Using Artificial Intelligence Techniques
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            NameFull: Esmail, Alaa Sami
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            NameFull: Keshta, Hossam E.
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            NameFull: Ali, Mahmoud Nour
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            – D: 11
              M: 05
              Type: published
              Y: 2026
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            – TitleFull: 2026 ICEENG International Conference for Innovations in Power and Control Systems (IPCS), Innovations in Power and Control Systems (IPCS), 2026 ICEENG International Conference for
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