Storm Risk

• Color-coded threat icons show expected hazard types.
• Email and text alerts for custom hazard models for business and operational impacts.
• Dashboard view of hazards, show the type, when and where it will occur, and the magnitude and duration.
• Next-hazard window indicates the timing of the next event.
• Hazard timeline shows a visual representation of the timing of threats.
• Asset identification interface allows you to drop a pin, upload a GeoJson file, or draw a polygon to map out asset locations.
• Configure up to three different lightning alert rings for your chosen distances and set an all-clear time for post-storm activities.
• View lightning, radar and other variables on a map against assets to see a time/space picture of the threats.

• Easily see the severity of the hazard and when and where it will occur.
• Quickly identify asset locations in relation to the predicted weather threats.
• Better manage staffing by accurately anticipating significant weather hazards.
• Reduce revenue losses by securing resources sooner and minimizing downtime.
• Support regulatory obligations and avoid penalties.
• Stage crew in the right locations to minimize restoration time.

• Use regionally-trained outage prediction models that include historic electric customers-out data and are updated every six hours.
• Track multiple events up to seven days ahead.
• Includes hourly electric customers-out forecasts, plus maps, tables, and trends.
• Review archived events for post-storm event analysis and reporting.
• An event creation notification is sent to stakeholders so they can access Storm Risk Analytics to review the outage forecast and monitor subsequent updates.

• Get clear guidance on the incident command escalation level needed for each of your operations centers.
• Reallocate and source additional restoration crews and materials, as needed, ahead of the event.
• Shorten outages and improve SAIDI scores.
• Save costs when using contracted restoration crews.
• Eliminate and/or reduce regulatory performance penalties.

Storm Impact Analytics is a damage and outage incident prediction system that uses a sophisticated, machine learning-based approach to provide a set of quantitative predictions that support a more prepared response to service interruptions.

• The model applies a combination of weather parameters — high winds, lightning, ice accretion, and more — to determine the strength of incoming storms and the associated risks at various time horizons.
• Then non-weather data — such as vegetation, utility asset records, and other variables — create an application that predicts and displays severe weather threats as they move through a service territory.
• Statistical modeling and predictive analytics determine the impact of weather on your assets at specific geographical locations.
  You see decision points, reports, and predicted impact scenarios for any incoming severe weather event within the WeatherSentry platform.
• It is then translated into impact statistics, such as damage and restoration effort estimates.
• All models are reviewed and managed by our experienced meteorologists online 24 x 7 x 365.

Storm Impact Analytics is fully integrated with WeatherSentry and includes real-time 24/7/365 professional meteorological monitoring, making it far more sophisticated than other methods.

• Improve your outage response strategy – use machine learning to see how your utility responds to storms and create models to accurately predict the impact of future events.
• Boost customer satisfaction – precision insights can help you restore power even faster.
• Act confidently – you can trust our proven, professional meteorological guidance, available 24/7/365.
• Enhance damage predictions – incorporate your network infrastructure and factor in vegetation and tree trimming cycle data for more targeted insights.
• Comply with public service commissions – it helps you do everything you can to properly prepare for storms and improve your cost recovery.