An ai-layered with multi-agent systems architecture for prognostics health management of smart transformers: a novel approach for smart grid-ready energy management systems

HIGHLIGHTS

• who: Oussama Laayati and colleagues from the Techniques (FST), Hassan First University of Settat (UH1), Settat, Morocco Center for Research on Microgrids (CROM), AAU, Aalborg University, Aalborg, Denmark have published the research work: An AI-Layered with Multi-Agent Systems Architecture for Prognostics Health Management of Smart Transformers: A Novel Approach for Smart Grid-Ready Energy Management Systems, in the Journal: Energies 2022, 15, x FOR PEER REVIEW of /2022/
• what: The aim of this architecture is to provide a smart system that diagnoses the power transformer and communicates with a decision system that manages . . .
  

   

  

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