Prediction Model Helps Utilities Deal with Severe Weather
May 1, 2017
Weather Company introduced a new outage prediction solution designed to
help utility companies proactively prepare for and respond to
weather-related outages. Tailored to each utility’s storm response plan,
The Weather Company’s Outage Prediction solution helps predict the
anticipated number of outages and appropriate mobilization level based
on the weather forecast for the utility’s service territory. This
enables the utility’s operations team to make critical decisions as much
as 72 hours ahead of an anticipated weather event - helping them to
control costs and improve restorations times for their customers.
The Outage Prediction model offers a three-pronged approach, which will allow utility companies to:
Utilizing a machine-learning predictive model, Outage Prediction is an intelligent solution that combines historical weather data and the most up-to-date, hyperlocal weather forecasts with past outage and/or infrastructure damage information for a utility’s service area. By combining this information, the utility can see what areas are predicted to be hit the hardest, which is critical in deciding where and when to pre-stage restoration crews and equipment.
The predictive model also accounts for parameters such as atmospheric pressure, soil moisture, and foliage. Optionally, other external attributes like type of vegetation, soil and/or other utility specific attributes like asset details can be incorporated via a services engagement. This flexibility enables an individualized solution for each utility’s situation, to help drive more informed decision making.