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Enhanced Multiagent Reinforcement-Learning-Aided Adaptive Fractional-Order EADRC for Load Frequency Control of Multiarea Power Systems.

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Bibliographic Details
Title: Enhanced Multiagent Reinforcement-Learning-Aided Adaptive Fractional-Order EADRC for Load Frequency Control of Multiarea Power Systems.
Authors: Wang X, Huang C, Ge SS
Source: IEEE transactions on cybernetics [IEEE Trans Cybern] 2026 May 28; Vol. PP. Date of Electronic Publication: 2026 May 28.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101609393 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-2275 (Electronic) Linking ISSN: 21682267 NLM ISO Abbreviation: IEEE Trans Cybern Subsets: MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22101609393%22">IEEE transactions on cybernetics</searchLink> [IEEE Trans Cybern] 2026 May 28; Vol. PP. <i>Date of Electronic Publication: </i>2026 May 28.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TCYB.2026.3695166
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      – Code: eng
        Text: English
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      – TitleFull: Enhanced Multiagent Reinforcement-Learning-Aided Adaptive Fractional-Order EADRC for Load Frequency Control of Multiarea Power Systems.
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            NameFull: Wang X
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            NameFull: Huang C
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            – D: 28
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              Text: 2026 May 28
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              Y: 2026
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