Real-Time Grid Monitoring for Utilities

Real-time distribution transformer monitoring — sampling voltage and current thousands of times per second — gives utilities the grid visibility they need to prevent outages, reduce fire risk, and improve reliability at scale. It's how modern utilities close the gap between 15-minute smart-meter data and the second-by-second reality of the grid.

The challenges make this urgent. Precipitous load growth, aging infrastructure, distributed energy resources, and an increasingly unpredictable climate mean utilities today face more complexity than possibly any other time in modern history. Meanwhile, the task of providing safe, reliable, and affordable power has never mattered more — modern life and modern economies demand it.

Utilities can't manage what they can't see. The proliferation of data points from today's bi-directional grids makes holistic, integrated visibility a necessity, not a nice-to-have. But data alone isn't enough — it has to be usable and produce quality insights. By monitoring distribution transformers and other key assets in real time (rather than at 15-minute intervals), utilities improve power quality and reliability, mitigate risks before they become outages, and recover faster when extreme weather strikes.

"With the right solutions, any utility, regardless of size, can take a data-driven approach to improving their operations. It starts with an ecosystem of rich, high-resolution data and then applying both AI-driven analysis and human expertise to use that data to meet genuine business needs."

— Sam Holden, Director of Data Science, Ubicquia

The core responsibility: reliability

The growth of electrification means there are ever-greater demands on grids. At the same time, those grids are increasingly bi-directional due to distributed energy resources (DERs), which increases the complexity of ensuring power quality and handling peaks and troughs.

The proliferation of smart meters is helpful in eliminating O&M from meter-to-cash operations. Smart meters, however, can't measure key aspects of transformers, the grid, or other assets — and they rely on overburdened mesh communication networks with high latency. Utilities need to augment their smart meter data with high-resolution, granular data from additional sensors.

Ubicquia's UbiGrid Distribution Transformer Monitor (DTM+), combined with the UbiVu AI-driven asset management platform, provides that visibility. DTM+ captures real-time voltage and current data sampled 7,800 times per second, and monitors the physical state of transformers, including oil temperature and pressure. Signs of potential failures, faults, or power quality issues generate immediate notifications via UbiVu's dashboard. DTM+ transmits over LTE, ensuring reliable connectivity even in remote locations.

"Combining signatures in current and voltage with physical characteristics provides a great view for asset management — a type of insight that hasn't been available on the distribution side until now."

— Sam Holden, Director of Data Science, Ubicquia

Machine-learning capabilities layered on top of that raw data identify potential problems weeks in advance, before they result in an outage or equipment failure. Utilities can implement preventive maintenance and stop outages before they happen, and because these insights pinpoint individual transformers, they cut costly truck rolls to locate an issue. This proactive approach improves reliability scores like SAIDI and SAIFI as well as customer satisfaction metrics like Net Promoter Score (NPS) and CSAT. It also optimizes OpEx — through saved truck rolls and extended asset life — and shifts OpEx toward CapEx by delaying replacement.

Visibility at this level is particularly valuable with commercial and industrial (C&I) customers whose power quality issues can propagate to other customers or parts of the grid.

"Power quality event identification, triangulation of location and establishment of cause — these elements give you visibility and insights to know exactly what's happening. With these insights, utilities improve complaint resolution and save money on diagnostics and maintenance."

— Sam Holden, Director of Data Science, Ubicquia

Reducing risk and protecting communities

Visibility into faults, weather-driven vegetation risk, and equipment integrity does more than protect a single utility's assets — it protects the entire community that depends on the grid. Fault-type differentiation guides emergency management toward the highest-risk spans instead of blanket shut-offs. Advance warning on damaged poles and transformer failures lets field crews arrive with the right equipment and safety precautions. Awareness of distributed energy backfeed keeps line workers safe during repairs.

None of this is possible without a data foundation. Real-time monitoring platforms combined with AI-driven analytics and industry expertise let utilities stay ahead of power quality challenges, stretch OpEx budgets by cutting reactive truck rolls, and build the grid resiliency their communities need. The tools exist to meet this moment.

"The DTM+ is an affordable solution that provides any utility with truly actionable insights that are greater than the sum of their parts."

— Sam Holden, Director of Data Science, Ubicquia

About this white paper

Produced by studioID for Ubicquia in partnership with Utility Dive. studioID is Industry Dive's global content studio, delivering deep industry expertise, first-party audience insights, and an editorial approach to brand storytelling.