Artificial Intelligence and Data Analytics

The recent transition to smart sensing devices in the power grid has enabled an explosion of available data, leading to both new opportunities and new challenges in utilizing and interpreting that data.  Artificial intelligence (AI) and data analytics have the capability to use the data to produce actionable intelligence for grid operators and utilities.  Sandia is at the forefront of using AI algorithms, machine learning, and other data analytics to provide critical insights for a modern power grid. 

  • Massive historical datasets are leveraged to calibrate, validate, and correct utility models of the power system, aiding in power systems planning.
  • Algorithms are used to detect, classify, and localize fault events.
  • Predictive analytics are used to quantify asset health and incipient device failure.
  • Reinforcement learning provides grid control and decision advantage to grid operators.
  • Forecasting algorithms provide look-ahead capability for both normal and abnormal operating conditions.
  • Increased visibility provides insight into power grid resilience and reliability goals
  • Insights are used to plan and respond to extreme events on the power grid
  • Physics-informed algorithms provide accurate visibility and insight into grid operations.

Logan Blakely

Matthew Reno