Recent client tests have suggested Weather Guard© can predict with up to 80% accuracy which circuits are likely to experience outages as a result of a particular storm, using public weather data (i.e., sustained wind speed and direction, wind gusts, humidity, precipitation, and lightning forecasts, etc.) to make incoming storm severity assessments.

Forecast wind and fire impacts at both the region and circuit level and easily drilldown on the most vulnerable areas.

We focus on getting knowledge to users sooner with real-time text alerts, email alerts, and scheduled daily expected outage reports, enabling immediate action to mobilize resources.

Leverage data regarding vegetation, asset condition, real-time weather forecasts to define impact of rapidly approaching storms or extreme weather events. Generate automated alerts/reports of forecast damage, identifying circuits most likely to be impacted. This can facilitate pro-actively de-energizing assets or dispatching resources to locations with highest likelihood of damage — saving time and money and improving restoration performance!

Position crews ahead of time in safe locations with necessary materials.

Advanced searching, filtering and drill-downs allow better understanding of ongoing risk and vulnerabilities on the system.

Utilizing historical weather factors and outcomes, the Weather Trends and Forecasts section provides insights into the variation from average for a number ofweather factors by month. This insight allows the user to see those months of the year historically that their network is both most and least exposed to the selected weather factor.

The Accuracy Dashboard provides an overview of key indicators measuring the outage prediction model’s effectiveness. It features two views: Alerting Notification (accuracy in issuing alerts across time windows) and Outage Prediction (analysis of predicted outage accuracy). The Weather Date and Outage Prediction page cross-references weather metrics with outage prediction and alert notification analyses. The Comparison of Actual and Predicted Outages – Service Centers page presents data for each Service Center in a distinct format.

Use the Analytic Sandbox for deep dive analyses using countless combinations of chart types, metrics and filtering. In the below example, we are trying to gain more insight on weather and vegetation caused outages.

Identifies circuits and operating areas exhibiting elevated outage activity, reliability concerns, or storm-related performance issues. Users can analyze outage frequency, customer impacts, weather sensitivity, vegetation exposure, and historical performance trends to prioritize corrective actions, storm hardening investments, vegetation management activities, and long-term reliability improvement initiatives.

Combines GIS network information, asset characteristics, outage history, vegetation exposure, storm hardening activities, and operational performance within an interactive geospatial environment. Users can visualize system assets, investigate outage hotspots, evaluate asset vulnerabilities, and identify areas where targeted reliability and resilience investments may provide the greatest benefit.