Proactive Outage Management
Sentient Energy’s MM3ai System enables utilities to predict
outages before they happen
Proactive Outage Mitigation
Increased customer expectations around grid reliability
and reduced power outages drive top priorities for
today’s utilities. Sentient Energy’s MM3ai Proactive
Outage Management System helps utilities predict
outages using a combination of intelligent line sensors,
powerful analytics and machine learning and daily
outage precursor anomaly reports.
Why It's Important
Intelligent line sensors enable utilities to
quickly locate and react to unplanned
outages, reducing outage duration and
improving reliability metrics. Leveraging line
sensors for proactive strategies to mitigate
unplanned outages takes those reliability
improvements a significant step further.
When utilities can predict impending
outages and address them before they
happen, the positive impact on reliability
and customer satisfaction is far greater
Minutes of Unavailability
Year.
How It Works
Sentient Energy’s solution for proactive outage mitigation is the MM3ai System. The system combines intelligent line sensors, software, and machine learning techniques to provide utilities with predictive indicators of impending outages. The MM3ai System generates a daily report of feeder anomaly activity with actionable alerts for likely future outages.
Key Features
With high-fidelity waveform data from MM3ai line sensors and proprietary algorithms developed by utility industry data science experts, the MM3ai System’s daily report identifies outage precursor anomalies indicative of vegetation contact and impending equipment failures. The MM3ai System includes:
- Ninety-six MM3ai Line Sensors for quarter point visibility on eight feeders
- Ample software with managed cloud deployment
- Deployment and ongoing support including report training & 1-hour monthly meetings
- Software updates
- Cellular fees
- Warranty
MM3ai System Benefits
The MM3ai System gives utilities an expanded view of their distribution system, enabling them to go beyond reactive response and proactively address impending outages. Visualization of anomaly activity by feeder segment enables utility engineers to initiate inspections of segments at high risk of outage so that likely faults can be identified and addressed, boosting reliability metrics and customer satisfaction. Feeder inspection and validation results are incorporated into analytics model data to consistently refine anomaly classifications and further improve success rates.
- Ninety-six MM3ai Line Sensors for quarter point visibility on eight feeders
- Ample software with managed cloud deployment
- Deployment and ongoing support including report training & 1-hour monthly meetings
- Software updates
- Cellular fees
- Warranty
