IEEE PES Fort Worth Monthly Meeting - September 18th

Share

Storms are typically unpredictable and tend to leave utilities struggling to deploy troubleshooters and materials to the locations with the most damage. Utilizing weather, outage, and restoration data Oncor Electric Delivery has explored and continues to explore the idea of predicting the amount and type of damage a storm will create. This research has led to initial correlations between wind speed, population density, and outages. Using a statistical analytics tool (SPSS), this correlation is expected to give Oncor the ability to determine causation for certain types of damage and the statistical geographic distribution of these outages. Currently the project is still exploring the full capabilities of the provided data, weather, outage and restoration, to see with what accuracy the model can get using prior storm data and forecasted weather. The model is being created with the intent to make storm restoration efforts to more proactive vs. reactive when it matters most.



  Date and Time

  Location

  Contact

  Registration


  • 777 Main Street
  • 40th Floor
  • Fort Worth , Texas
  • United States 76102
  • Building: Petroleum Club of Fort Worth
  • Derrick Webster

    PES Secretary

    Fort Worth Chapter

    682.305.6077

  • Registration closed


  Speakers

Victoria White

Victoria White of Oncor Electric Delivery

Topic:

Outage Prediction Model to Forecast Damage and Proactive Personnel Distribution

Storms are typically unpredictable and tend to leave utilities struggling to deploy troubleshooters and materials to the locations with the most damage. Utilizing weather, outage, and restoration data Oncor Electric Delivery has explored and continues to explore the idea of predicting the amount and type of damage a storm will create. This research has led to initial correlations between wind speed, population density, and outages. Using a statistical analytics tool (SPSS), this correlation is expected to give Oncor the ability to determine causation for certain types of damage and the statistical geographic distribution of these outages. Currently the project is still exploring the full capabilities of the provided data, weather, outage and restoration, to see with what accuracy the model can get using prior storm data and forecasted weather. The model is being created with the intent to make storm restoration efforts to more proactive vs. reactive when it matters most.

Biography:

Victoria White is an engineer at Oncor Electric Delivery in Texas. Victoria primarily works on research and root-cause analysis based projects within Oncor; regarding topics such as OMS/GIS connectivity, Predictive Analytics, and Outage Analysis. Victoria graduated in 2014 from the University of Texas at Arlington with a degree in Electrical Engineering.

Email: