Imagine what predicting outages can do for your utility. When outages are predicted and preempted, reliability metrics improve, operational costs are reduced, and resources are used more effectively. In high wildfire risk areas preempted outages reduce ignition risks. Today, advanced analytics and intelligent line sensing technologies make outage prediction a reality.
Advanced analytics and intelligent line sensors work together to enable high probability outage prediction. Outages can be predicted by capturing high resolution waveforms of precursor anomalies. When these anomalies become more frequent, an outage prediction alert is sent to utility planners who quickly inspect the identified overhead feeder segments. System data is utilized to make repairs and/or trim trees to preempt outages.
Sentient Energy’s outage prediction solution is powered by the Ample Analytics Platform. The intelligent MM3ai overhead line sensors detect and capture high resolution waveform anomalies along feeders. These waveforms are sent via cellular communication to the Ample Analytics Platform where advanced analytics are applied to identify anomalies known to precede permanent faults, or precursor anomalies. Outage predictions are made based on frequency and patterns of precursor anomalies. The outage prediction solution features:
The Sentient Energy data-driven solution for outage prediction enables utilities to go beyond reactive response and proactively address impending outages. Daily reporting of precursor anomaly activity and priority level by feeder segment enables field circuit inspectors to initiate inspections. When inspectors find issues, equipment can be repaired, and vegetation can be trimmed to preempt outages. Outage prediction has been proven in the field to significantly improve reliability metrics and reduce O&M costs.
We help utilities deliver safe, reliable and efficient power.
