Simplify grid operations & planning with AI-powered orchestration

Camus unifies and analyzes disparate data sources, leveraging AI and hyperscale computing to deliver real-time insights, actionable forecasts and grid-optimized DER management.

UNLOCKING AN ORCHESTRATED FUTURE

Camus bridges three key gaps in managing DER impacts

Man looking at computer monitor

1. Bring grid-wide visibility to the control room

Camus provides real-time visibility and day-ahead forecasts from DER to substation via supervised machine learning models that analyze AMI, GIS, SCADA, and DER data.
Features
Transformer loading

Protect service transformers and avoid unexpected outages by monitoring aggregated loads on upline equipment, including historical, near real-time, and forecasted loading.

EV detection

Identify up to 80% of Level-2 electric vehicle charging locations with machine learning-backed analysis of meter data.

Feeder-level voltage analysis

Mitigate voltage deviations and avoid damage to utility equipment by monitoring and forecasting load and voltage for each feeder.

24-hour load forecast

Predict day-ahead net load at every meter, inclusive of distributed generation and DER impacts. Complement with Camus’ behind-the-meter solar generation forecasts to estimate gross load.

Coincident peak forecast

Maximize power supply savings by improving peak management and local energy procurement strategies with a highly-accurate, 5-day ahead forecast for coincident peak periods.

Aggregated point forecast

View aggregated load forecasts for any point on the grid, including transformers, reclosers, feeders, and substations. Anticipate and mitigate abnormal conditions, including backflow and overloading.

2. Easily coordinate across DERMS vendors and DER aggregators

Camus coordinates across our DERMS and Aggregator partners to protect the distribution system when DERs are dispatched for non-utility needs.
Features
Peak management

Shift electricity consumption from electric vehicles, batteries, and flexible building loads to reduce peak demand and lower operating costs.

Equipment-protective control

Protect distribution infrastructure and avoid premature replacement by incorporating upline equipment’s operating constraints into DER dispatch algorithms.

DER aggregator coordination

Ensure third-party-controlled aggregations of DERs respect distribution-level constraints while participating in wholesale markets via dynamic operating envelopes.

Front-of-meter battery control

Dispatch utility-managed batteries to shift loads, soak up excess solar, or mitigate voltage deviations via common control interfaces such as DMP3, Modbus, and RTACs.

DER performance reporting

Monitor the effectiveness of your DER management by comparing dispatch instructions and real-world behavior of individual and aggregated DERs.

3. Simulate future operations using 
real-world data

Camus enables utilities to better prioritize capital expenditures by analyzing billions of real-world data points to simulate grid impacts across DER adoption scenarios.
Features
EV & DER impact simulations

Estimate how DER adoption scenarios, including electric vehicle charging, will impact utility equipment with data-driven power flow simulations. 

Dynamic operating envelopes

Provide device aggregators and fleet coordinators with operating constraints that change based on real-time and forecasted grid conditions. Accelerate interconnections without sacrificing reliability.

Equipment upgrade prioritization

Identify heavily-burdened distribution infrastructure and prioritize upgrades based on likelihood of failure and ability to avoid overloading or backfeed via DER control.

Deferral savings estimates

Analyze upgrade plans based on forecasts of future demand to create data-backed estimates of savings from deferred equipment upgrades.

FEATURES
Transformer loading

Protect service transformers and avoid unexpected outages by monitoring aggregated loads on upline equipment, including historical, near real-time, and forecasted loading.

EV detection

Identify up to 80% of Level-2 electric vehicle charging locations with machine learning-backed analysis of meter data.

Feeder-level voltage analysis

Mitigate voltage deviations and avoid damage to utility equipment by monitoring and forecasting load and voltage for each feeder.

24-hour load forecast

Predict day-ahead net load at every meter, inclusive of distributed generation and DER impacts. Complement with Camus’ behind-the-meter solar generation forecasts to estimate gross load.

Coincident peak forecast

Maximize power supply savings by improving peak management and local energy procurement strategies with a highly-accurate, 5-day ahead forecast for coincident peak periods.

Aggregated point forecast

View aggregated load forecasts for any point on the grid, including transformers, reclosers, feeders, and substations. Anticipate and mitigate abnormal conditions, including backflow and overloading.

Peak management

Shift electricity consumption from electric vehicles, batteries, and flexible building loads to reduce peak demand and lower operating costs.

Equipment-protective control

Protect distribution infrastructure and avoid premature replacement by incorporating upline equipment’s operating constraints into DER dispatch algorithms.

DER aggregator coordination

Ensure third-party-controlled aggregations of DERs respect distribution-level constraints while participating in wholesale markets via dynamic operating envelopes.

Front-of-meter battery control

Dispatch utility-managed batteries to shift loads, soak up excess solar, or mitigate voltage deviations via common control interfaces such as DMP3, Modbus, and RTACs.

DER performance reporting

Monitor the effectiveness of your DER management by comparing dispatch instructions and real-world behavior of individual and aggregated DERs.

Features
EV & DER impact simulations

Estimate how DER adoption scenarios, including electric vehicle charging, will impact utility equipment with data-driven power flow simulations. 

Dynamic operating envelopes

Provide device aggregators and fleet coordinators with operating constraints that change based on real-time and forecasted grid conditions. Accelerate interconnections without sacrificing reliability.

Equipment upgrade prioritization

Identify heavily-burdened distribution infrastructure and prioritize upgrades based on likelihood of failure and ability to avoid overloading or backfeed via DER control.

Deferral savings estimates

Analyze upgrade plans based on forecasts of future demand to create data-backed estimates of savings from deferred equipment upgrades.

RELIABILITY AT SCALE

Proven technology from experts in scale

Our team developed Google's approach to reliable distributed computing and operated the internet giant's high-reliability global computing platform. Today, Camus handles massive volumes of utility data using the same approach that our team pioneered to operate critical systems at 99.999% uptime.

CAMUS PARTNERS

An interoperable ecosystem of partners

Camus is interoperable with leading DERMS providers, DER aggregators, developers, grid technology partners. This enables a cross-cutting data foundation and scalable integrations that allow you to engage trusted partners to orchestrate your grid.

AI FOR CRITICAL SYSTEMS 

Cross-silo data analysis by category-leading AI

Camus unifies and analyzes data from customers, utilities, DERs, and third parties, harnessing best-in-class AI and machine learning to address today’s challenges.

From addressing delays in AMI data collection to accelerating the convergence of power flow models, AI-derived insights can transform how utilities view and manage their grid.

ZERO TRUST CYBERSECURITY

End-to-end protection for your infrastructure

Our zero-trust cybersecurity model authenticates each user or subsystem through multi-channel mechanisms and provides explicit access to only a limited set of systems.

This end-to-end security approach protects your infrastructure better than relying upon a firewall or VPN, both of which focus solely on keeping bad actors out while leaving internal services exposed to those inside the security boundary.

WHO WE SERVE

Guiding utilities into the 100% electrified future

Investor-Owned Utilities

Boost reliability, prioritize high-value investments, and smooth the transition to a zero-carbon grid.

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Co-op & Municipal Utilities

Lower power supply costs, defer system upgrades, and boost reliability on a fast-changing grid.

Generation & Transmission Providers

Collaborate seamlessly with distribution utilities to serve both local and system-wide needs.

THE TIME IS NOW

See our grid orchestration platform in action.

Try our interactive demo