Without LV/MV substation observability, Distribution System Operators (DSOs) remain exposed to a costly blind spot: faults are often localised through manual investigation, customer reports and field checks, while developing asset problems stay invisible until they become outages or failures.
This is no longer just an operational inefficiency. It directly affects reliability performance, SAIDI/SAIFI exposure, maintenance predictability and the operator’s ability to demonstrate control over public service obligations. For utilities, the pain of the status quo is therefore not only higher OPEX and avoidable asset risk, but weaker compliance posture, less predictable reliability outcomes and a reduced ability to prove that the network is being managed proactively rather than reactively.
When operators can detect, localize and act before incidents escalate, reliability and OPEX improve. Thaora Distribution Intelligence complements SCADA and ADMS with scalable LV and secondary-substation observability, closing blind spots that have traditionally been difficult to address cost-effectively.
Reduce fault localization time from hours to seconds
LV/MV substation observability, automated fault passage indicators and RTU signaling help operators move from manual fault investigation to near-real-time localization. By integrating substation events, feeder signals and operational alarms, Thaora Distribution Intelligence enables faster fault identification and can reduce average fault localization time from hours to seconds, depending on automation coverage and integration with field devices.
Reduce outage frequency by up to 23%
Proactive sensing helps operators identify abnormal asset and network conditions before they escalate into customer interruptions. By combining substation measurements, asset condition signals and anomaly detection, Thaora supports earlier intervention and can help reduce outage frequency by up to 23%, depending on asset coverage and maintenance process adoption.
Detect up to 20% of critical asset problems before catastrophic failure
Proactive digital monitoring helps operators identify developing equipment issues before they escalate into major failures. By integrating LV/MV substation observability and asset health indicators, Thaora supports early detection of up to 20% of substation transformer problems before catastrophic failure occurs.
By using Thaora Distribution Intelligence solution we helped our client to:
From blind spots to actionable grid visibility
Gained visibility across previously unmonitored LV and secondary substations, enabling earlier detection of voltage issues, outages, and environmental risks.
From reactive firefighting to early intervention
By introducing continuous condition monitoring and rule-based alarms, the operator shifted from reactive fault response to proactive grid management.
From broad field response to targeted operations
Clear localization of issues and event-driven alerts reduced unnecessary field dispatches and improved crew prioritization.
Deploy anywhere. Keep full data sovereignty.
Cloud-native with on-prem or hybrid deployment across major clouds, aligned to utility IT/OT security. Processed data is securely forwarded to CIS/billing, reporting, and enterprise systems as a standard path—not a custom integration every time.
Modular growth without operational disruption.
Add new smart meters, models, and capabilities without downtime, and scale to millions of endpoints without replatforming. This keeps rollouts incremental and low-risk, while protecting performance as coverage expands.
Built for Change. Ready for Any Network.
Thaora ingests heterogeneous devices and networks (LoRa / Sigfox / NB-IoT / satellite) into the same workflows without forcing lock-in—so you can mix and evolve connectivity based on geography, assets, and cost.
Designed for Diverse Utility Network Environments
Utility environments rarely rely on one network: NB-IoT fits dense areas with strong coverage, Sigfox/LPWAN suits wider low-density deployments with ultra-low power, and satellite/NTN IoT covers remote gaps where networks don’t reach.
