What Power Outage Prediction can do for your business

The connection between weather and power outages has been a problem for utilities. And restoring distribution system outages is a major operational cost in adverse weather. If a power outage occurs, utilities have a small window of time to restore power before customers get upset and regulators seek answers.

Outage Prediction is an automated, customizable cloud-based solution that leverages weather data and forecasting expertise with client data sets to develop machine-learning predictive models that help utilities proactively prepare their response to weather events, improve restoration times and boost customer and regulatory satisfaction.

Enhance customer experience

Proactively inform your customers of potential storm outages and the estimated response time based on outage predictions.

Reduce restoration times

Prepare and respond to power outages more effectively when severe weather strikes and restore your services faster by releasing crews sooner in the right location and at the right time.

Increase operational efficiency

More accurately predict the correct level of resources necessary prior to a storm to optimize costly mobilizations and maximize the use of your restoration resources.

Outage Prediction features

  • Interactive dashboard to monitor power outages in your area
  • Prediction model with 72-hour lead time
  • Quickly identify risk areas
  • Map legend to identify different mobilization levels
  • Access forecast and observed weather layers
  • Analyze power outage prediction trends
  • Scenario planning
  • Perform historical storm searches

Security and privacy in the cloud

  • IBM enables companies to scale and adapt quickly to changing business needs without compromising security, privacy or risk levels when using IBM cloud offerings.

    Learn more about IBM Cloud security

Product images

Bring together the most important information to drive your decisions.
Bring together the most important information to drive your decisions.
Define best- and worst-case scenarios by looking at variable factors.
Define best- and worst-case scenarios by looking at variable factors.
Access forecast and observed weather data.
Access forecast and observed weather data.
Visualize how the power outage forecast has been trending.
Visualize how the power outage forecast has been trending.
Compare historical storm data with current forecast conditions.
Compare historical storm data with current forecast conditions.
Mobilization levels predicted for a given area.
Mobilization levels predicted for a given area.