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Engineering and grid expertise

Rodan combines engineering, telemetry integration and regulatory expertise to support grid reliability and program compliance.

Solutions

Utility solutions across intelligence, operations and engineering

One partner across peak load management, DER integration, metering infrastructure and regulatory compliance. Every product and service works with the others so utilities aren’t coordinating between vendors for overlapping grid work.

MarketIQ™ ->

Real-time IESO market intelligence. Live pricing signals, demand forecasts and grid conditions for utility operations teams.

Available in
  • IESO
FacilityIQ ->

Site-level energy monitoring with near real-time visibility into DER performance and large facility load behavior across your service territory.

Available in
  • AESO
  • IESO
  • MISO
  • NYISO
  • PJM
PeakIQ ->

Identifies peak demand risk before system constraints occur, with week-ahead, day-ahead and same-day alerting.

Available in
  • AESO
  • IESO
  • MISO
  • NYISO
  • PJM
SettlementIQ ->

Independent settlement validation across demand response programs and grid participation initiatives.

Available in
  • AESO
  • IESO
  • MISO
  • NYISO
  • PJM
FlexOps ->

24/7 managed dispatch coordinating demand response and DER participation across electricity market programs.

Available in
  • AESO
  • IESO
  • NYISO
Demand Response, by FlexOps ->

Full program administration fordemand response participation supporting system reliability during peak demand events.

Available in
  • AESO
  • IESO
  • MISO
  • NYISO
  • PJM
GridOps ->

Revenue metering, telemetry and grid integration for energy market participation and regulatory compliance.

Available in
  • All Canadian Provinces
  • AESO
  • IESO
  • MISO
  • NYISO
  • PJM
Metering Services ->

Full-lifecycle metering including revenue metering, AMI, MIST, MSMP, sub-metering and compliance auditing.

Available in
  • All Canadian Provinces
  • AESO
  • IESO
  • MISO
  • NYISO
  • PJM
Engineering Studies and Compliance ->

Power systems engineering studies including distribution studies, connection impact assessments, protection and control design and OEB, IESO and AESO regulatory compliance engineering.

Available in
  • All Canadian Provinces
  • AESO
  • IESO
  • MISO
  • NYISO
  • PJM
750+
Managed Sites
1.5 GW+
Under Management
550+
IESO Revenue Metering Points
20+ Years
Experience
FAQ

FAQs for Utilities

Distributed energy resources (DERs) such as battery storage and distributed generation are transforming grid operations.

While DERs provide additional generation capacity, they also introduce operational complexity for utilities.

Utilities must coordinate these assets to ensure grid stability and avoid congestion issues.

Tools that manage energy storage systems allow utilities to leverage storage assets for grid support during peak demand periods.

Utilities also rely on real-time intelligence platforms such as energy market intelligence to monitor grid conditions and asset performance.

As DER adoption increases, utilities must develop new operational frameworks to integrate these resources effectively.

Utilities forecast peak demand events using a combination of historical data, weather forecasting and predictive analytics.

Electricity demand is heavily influenced by weather conditions, economic activity and operational patterns across the grid.

Predictive tools such as PeakIQ analyze these variables to identify potential peak demand days.

Utilities combine these insights with real-time grid data from platforms such as MarketIQ™.

This visibility allows system operators to coordinate demand response participation and prepare grid resources in advance.

Accurate peak forecasting is essential for maintaining grid reliability and avoiding system stress events.

Distributed energy resources (DERs) such as battery storage, solar generation and flexible load assets are becoming increasingly important components of modern electricity systems.

While these assets provide additional flexibility and resilience, they also introduce operational complexity. Utilities must coordinate these resources to ensure they support grid reliability rather than create instability.

Energy intelligence platforms such as MarketIQ™ help utilities monitor grid conditions and identify opportunities to leverage distributed resources.

Battery assets operating under energy storage systems strategies can discharge energy during peak demand periods, helping stabilize the grid.

Utilities may also coordinate distributed resources through demand side management programs that align customer load with grid conditions.

As distributed energy adoption continues to increase, utilities must develop operational frameworks that integrate these resources into grid planning and dispatch strategies.

Extreme weather events such as heat waves or severe cold snaps often create the highest electricity demand on the grid. During these periods, utilities must ensure that generation capacity, transmission infrastructure and demand response resources can maintain system stability.

Utilities manage these events through a combination of forecasting, operational planning and demand-side coordination. Predictive intelligence platforms such as energy management systems help utilities anticipate demand spikes based on weather forecasts and historical consumption patterns.

Utilities also rely on coordinated participation from large energy users. Programs such as demand response programs allow utilities to temporarily reduce load across participating facilities when system demand approaches critical thresholds.

Real-time grid visibility is essential during extreme events. Platforms like energy market intelligence systems provide operators with live data on grid conditions, electricity prices and demand patterns.

By combining forecasting, demand response coordination and distributed energy resources, utilities can maintain system reliability even during periods of extreme demand.

Utilities evaluate the success of peak load management programs using several operational and financial metrics.

One of the most important indicators is peak demand reduction. Successful programs reduce the maximum electricity demand experienced during critical periods.

Utilities also measure the reliability of participating resources. Programs such as demand response programs rely on participating facilities to deliver load reductions when events occur.

Grid operators also analyze the performance of distributed energy assets. Through energy storage systems, batteries and other DERs can provide additional flexibility during peak demand events.

Energy intelligence platforms such as MarketIQ™ provide the operational data needed to evaluate program performance.

By analyzing load reductions, system reliability and operational costs, utilities can determine whether peak load management strategies are delivering measurable grid benefits.

Demand response programs allow utilities to temporarily reduce electricity consumption across participating facilities during peak demand events.

Utilities issue event notifications when system demand approaches critical thresholds. Participating organizations reduce electricity usage according to predefined strategies.

Facilities participating in demand response programs receive financial incentives for helping stabilize the grid.

Demand response is often more cost-effective than building new generation capacity because it leverages existing flexible loads across the grid.

Utilities coordinate these programs using operational intelligence platforms such as MarketIQ™, which provides real-time visibility into grid conditions and market signals.

Demand response programs have become a critical component of modern grid reliability strategies, particularly as electricity demand becomes more volatile.

Grid reliability depends on maintaining a balance between electricity supply and demand at all times. When demand rises rapidly, utilities must respond quickly to prevent system instability or outages.

Peak load management strategies help utilities anticipate and reduce demand during critical periods.

Predictive tools such as PeakIQ allow grid operators to identify potential peak demand events before they occur. This forecasting capability allows utilities to coordinate load reductions and prepare grid resources in advance.

Demand-side participation also plays an important role. Utilities coordinate large energy users through demand side management programs to temporarily reduce electricity consumption during peak demand periods.

Distributed resources such as batteries can also help support grid reliability. Optimized energy storage systems allow utilities to dispatch stored energy during peak demand events.

By combining forecasting, demand-side coordination and distributed energy resources, utilities can maintain grid stability while minimizing the need for additional infrastructure.

Peak load management refers to the strategies utilities use to control electricity demand during periods of maximum grid stress.

During peak demand events, electricity consumption approaches the limits of available generation and transmission capacity. Utilities must ensure grid reliability while avoiding costly infrastructure expansion.

Effective peak load management combines forecasting, demand-side participation and distributed energy integration.

Predictive tools such as energy management system platforms allow utilities to identify potential peak demand periods before they occur.

Utilities also rely on demand side management programs to reduce system load during critical periods.

By coordinating large energy users, distributed generation and storage resources, utilities can maintain grid stability while minimizing infrastructure investments.

Peak load management strategies have become increasingly important as renewable generation and electrification increase demand variability across electricity systems.

Peak demand challenges are increasing due to several structural changes in electricity systems.

First, electrification is increasing overall electricity demand. Electric vehicles, building electrification and industrial electrification are adding new loads to the grid.

Second, renewable generation sources such as wind and solar introduce variability into electricity supply. Utilities must balance these intermittent resources with demand fluctuations.

Third, extreme weather events are becoming more frequent, which can significantly increase electricity consumption during short periods.

These factors make peak load management more critical than ever.

Utilities rely on predictive tools such as energy management systems to anticipate peak demand conditions.

They also coordinate large energy users through demand response programs and demand side management strategies.

By combining forecasting, distributed energy integration and coordinated load management, utilities can adapt to these evolving challenges and maintain grid reliability.

Demand side management allows utilities to influence electricity consumption patterns across the grid.

Rather than increasing generation capacity, utilities can encourage or coordinate changes in electricity usage across commercial and industrial participants.

Programs such as demand side management help shift electricity demand away from peak periods.

These programs improve grid reliability while reducing the need for additional infrastructure investments.

Predictive intelligence platforms such as PeakIQ help utilities anticipate peak demand events and coordinate demand-side participation accordingly.

Demand side management also supports sustainability goals by improving energy efficiency and reducing the environmental impact of peak generation resources.

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