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About
Toumetis Cascadence is the first industry-proven predictive analytics solution designed specifically for electric power distribution companies. By combining advanced machine learning with sensor-enabled data streams, Cascadence transforms raw grid data into actionable insights that prevent equipment failures and dramatically reduce unplanned outages. The platform operates across three core analytical stages: Event Detection identifies anomalous power quality events as they occur; Event Type Classification correlates those events to specific device types and root causes; and Incipient Fault Location pinpoints the precise position of failing equipment on the network. Together these capabilities enable utilities to proactively replace or repair assets before any customer is affected. Cascadence directly improves key grid reliability metrics including SAIDI, SAIFI, and total customer outage minutes. Power companies can convert costly, lengthy unplanned outages into short, scheduled maintenance windows, conduct targeted vegetation management, and build data-driven asset replacement programs. In wildfire-prone regions, the platform also monitors overhead conductors for vegetation contact and other safety hazards. Every deployment is customized to the utility's unique infrastructure challenges — whether overhead or underground equipment, industrial or residential load profiles, or specific extreme-weather risks. The flexible, iterative platform model ensures the most impactful problems are solved first. Trusted by major utilities including San Diego Gas & Electric (SDGE), Cascadence is the enterprise-grade choice for utilities ready to move beyond traditional reactive asset management.
Key Features
- Anomalous Event Detection: Continuously monitors the grid to detect power quality anomalies in real time, triggering the predictive fault analysis pipeline.
- Event Type Classification: Uses machine learning to correlate detected events to specific device types and root causes, reducing diagnostic ambiguity for field crews.
- Incipient Fault Location: Pinpoints the geographic and network position of failing equipment before a full fault occurs, enabling targeted proactive maintenance.
- Wildfire & Vegetation Risk Monitoring: Identifies vegetation contact with overhead conductors and other safety hazards critical for utilities operating in wildfire-prone regions.
- Customizable & Iterative Platform: Adapts to each utility's unique infrastructure profile — overhead vs. underground, industrial vs. residential — and continuously improves with new data.
Use Cases
- An electric utility proactively replaces aging transformer components identified by Cascadence before they fail, avoiding multi-hour outages affecting thousands of customers.
- A utility in a wildfire-prone region uses Cascadence to detect vegetation encroaching on overhead lines, dispatching targeted vegetation management crews instead of running costly cyclical patrols.
- A power company converts unplanned emergency outage events into short, pre-scheduled maintenance windows, reducing SAIDI scores and improving customer satisfaction.
- A distribution operator uses Cascadence's fault location data to optimize field crew dispatch, cutting response times and truck rolls required per incident.
- A utility builds a multi-year, data-driven asset replacement program using Cascadence's equipment health rankings to allocate capital expenditure where risk is highest.
Pros
- Industry-Proven with Major Utilities: Deployed and validated by large utilities like SDGE, providing confidence in real-world performance at scale.
- Shifts Maintenance from Reactive to Proactive: Converts costly unplanned outages into short, scheduled maintenance windows, directly reducing SAIDI and SAIFI metrics.
- Highly Customizable: The flexible platform architecture allows utilities to prioritize the specific equipment types and failure modes most impactful to their network.
- Dual Safety & Reliability Value: Addresses both grid reliability and wildfire safety in a single platform, maximizing ROI for utilities in high-risk regions.
Cons
- Enterprise-Only Pricing: Cascadence is positioned as an enterprise solution with no self-serve or freemium tier, making it inaccessible to smaller utilities or municipalities with limited budgets.
- Requires Sensor Infrastructure: Optimal performance depends on sensor-enabled monitoring infrastructure already being in place on the distribution network.
- Narrow Industry Focus: The platform is purpose-built for electrical transmission and distribution, limiting applicability outside the utility sector.
Frequently Asked Questions
What is Toumetis Cascadence?
Cascadence is an AI-powered predictive analytics platform from Toumetis that helps electric utilities detect and locate failing grid equipment before it causes customer outages.
How does Cascadence predict equipment failures?
It analyzes power quality data from grid sensors in three stages — anomalous event detection, event type classification, and incipient fault location — using machine learning models trained on utility-specific data.
Which utilities use Cascadence?
San Diego Gas & Electric (SDGE) is a publicly referenced customer that uses Cascadence to move toward just-in-time asset replacement and improve distribution reliability.
Can Cascadence help with wildfire risk?
Yes. In wildfire-prone regions, Cascadence monitors overhead conductors for vegetation contact and other conditions that could create ignition hazards, supporting proactive safety management.
Does Cascadence integrate with existing utility systems?
Cascadence is designed as a flexible, iterative platform that can be adapted to each utility's existing data infrastructure and equipment types, including both overhead and underground assets.
