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Data-Driven Operation of the Resilient Electric Grid: A Case of COVID-19

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This article explores the resilience of power grids in the face of pandemics and various machine learning tools that can be helpful to augment human operators are discussed by reviewing the impact of COVID-19 on power grid operations and actions taken by operators/organizations to minimize the impact of COVID-19, and presenting recently developed tools and concepts of machine learning and artificial intelligence that can be applied to increase the resiliency of power systems in normal and extreme scenarios such as the COVID-19 pandemic. This resource includes:

  • Background
  • Motivation

Recommended for emergency environmental and public health officials working on cross-sector collaborations with IT or cybersecurity personnel to prepare for disaster response to aid in community resiliency.

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