TH22 Analytics, Machine Learning, and Artificial Intelligence for Nuclear Power Plant Activities

Sponsored by the Office of Nuclear Regulatory Research

Advances in computing technologies have led to the expanded use of data analytics, machine learning (ML), and artificial intelligence (AI) in a diverse range of industries. Leveraging the predictive power of ML/AI algorithms and data analytics provides decisionmakers with previously unachievable access to the knowledge housed in historical data. This session will provide an overview of current ML/AI-related activities in the nuclear industry, as well as perspectives on what the future could look like for using these technologies to develop insights about the behavior of systems. Specific topics will include using ML/AI and data analytics to improve plant performance and access historical data, along with exploring how the NRC could make use of these technologies. 

• The Honorable Jeff Baran, Commissioner, OCM/NRC tel: 301-415-1839, e-mail: CMRBaran@nrc.gov

   

• Introductory Remarks
  Jeff Baran, Commissioner, OCM/NRC
• AI.EPRI - Artificial Intelligence Research and Development at EPRI
  Jeremy Renshaw, Senior Program Manager - Artificial Intelligence, Electric Power Research Institute
• Exelon Use of Analytics
  Matthew Retzer, Senior Manager Equipment Reliability, Exelon Nuclear
• Analytics, Machine Learning, and Artificial Intelligence in Nuclear Power Plants
  Maria Lacal, Executive Vice President & Chief Nuclear Officer, Arizona Public Service Company - Palo Verde Generating Station
• Advancing Technology into the Future
  Kimberly Webber, Director, Division of Systems Analysis, RES/NRC

• Alfred Hathaway, Reactor Systems Engineer, Accident Analysis Branch, Division of Systems Analysis, RES/NRC tel: 301-415-2461, e-mail: Alfred.Hathaway@nrc.gov