Multiarea inertia estimation using convolutional neural networks and federated learning

HIGHLIGHTS

• who: NOMENCLATURE and colleagues from the Grant DE-SC0020281, and in part by the South Dakota State University Joint have published the article: Multiarea Inertia Estimation Using Convolutional Neural Networks and Federated Learning, in the Journal: (JOURNAL) of October/14,/2021
• what: The authors propose a framework to estimate the inertia of the system in a decentralized fashion that depends only on the local frequency measurements. For this research, it is assumed that M and u0394PL are varied in a simulated environment. This work focused mostly on the decentralized method for data-driven inertia estimation . . .
  

   

  

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