New SAS Grid Guardian AI boosts distribution grid reliability

The world’s energy distribution grids are challenged. Aging infrastructure, increased maintenance and labor costs, and extended restoration times after unplanned outages stoke growing consumer distrust. Energy companies need help, and analytics leader SAS lends them a hand with SAS^® Grid Guardian AI, a first-of-its-kind solution that improves reliability while reducing crew injuries and fatalities without adding new equipment. The new solution makes its debut at DISTRIBUTECH International.

SAS Grid Guardian AI uses data from mobile IoT sensors on garbage trucks to predict energy grid failures.

SAS IoT analytics and energy experts will be on hand during DISTRIBUTECH International to demonstrate SAS Grid Guardian AI and answer questions. Stop by SAS partner Exacter’s Booth 3035 for a visit. Learn more about SAS Grid Guardian AI.

“Utilities have a blind spot when it comes to predicting overhead equipment failure and prioritizing predictive maintenance, even if they currently have an APM application and processes in place,” said John Villali, Director of IDC Energy Insights. “Leveraging innovative roaming sensor networks and analyzing pre-failure radio frequency (RF) emissions using AI and machine learning enables utilities to detect degraded overhead equipment and better understand the types of equipment failures most likely to occur. Combined with readily-available circuit-level data, RF emission-based monitoring enables utilities to effectively prioritize maintenance plans for enhanced safety, reliability and uptime.”

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Randolph EMC, a rural North Carolina energy cooperative, uses SAS Grid Guardian AI to get ahead of aging overhead equipment failures so the distribution grid remains stable for its members. “It also helps employees detect problems without taking unnecessary risks in the field or adding new equipment to the grid,” said Dennis Mabe, Vice President of Engineering and Operations at Randolph EMC. “Making data-driven decisions that improve service to our members is our goal. SAS helps us gain new visibility into previously unavailable data. With these insights we can plan and prioritize critical repairs to eliminate failures.”

SAS Grid Guardian AI reduces costs, protects workers, improves reliability
SAS Grid Guardian AI analyzes the data flowing from mobile edge computing sensors mounted to utility and service vehicles – like garbage trucks – roaming up and down alleys and streets. The sensors read the RF emissions data, and it’s analyzed with AI and machine learning. The result is energy companies better understand when failures might occur and can more effectively prioritize maintenance schedules.

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