|Storm Risk Analytics (for Mid-sized Utilities)||Storm Impact Analytics (for Large Investor Owned Utilities)|
|Uses machine learning||Uses machine learning|
|Integrates with our industry-leading WeatherSentry solution||Integrates with our industry-leading WeatherSentry solution|
|Archived events are accessible||Archived events are accessible|
|Predicts the number of customers-out||Predicts the number of outage incidents|
|Regionally-optimized customer impacted and weather risk models||Models created based on a utility’s own historical outage data and infrastructure|
|Self-serve event creation||Events created by our experienced meteorologists|
|Weather risks identified in a seven-day time horizon||Professional meteorological guidance available 24/7|
Storm Risk Analytics
- 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.
The Power of Machine Learning and AI in Tackling Today's Utility Challenges
Environmental, weather, and market uncertainties compound challenges for small and mid-sized utilities that aim to access restoration and other resources in a competitive field.Read E-book
Storm Impact Analytics
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.
The Impact of Severe Weather on Utilities
DTN sponsored a survey, conducted by T&D World and Utility Analytics Institute, which explored industry weather trends. This report provides valuable insights into weather challenges nationwide, the industry’s weather maturity curve, how utilities manage outages, emerging prediction technologies, and more.View Report
Customers, utility executives, and regulatory agencies all want the same thing — power that’s always on. When severe weather impacts service, they demand fast restoration. DTN can help. Our Storm Impact Analytics allow you to better plan staffing and power restoration with sophisticated, quantified outage predictions for your unique operations.