What is Topline Demand Control?

Imagine running a demand flexibility event and knowing with certainty that you’ll get exactly the result you want? Sounds impossible right? That’s where Topline Demand Control (TDC) comes in.

Topline Demand Control (TDC) is a method of controlling aggregated distributed energy resources (DERs) so that their combined load follows a precise, operator-specified shape for the full length of a dispatch event. Instead of sending the same setpoint to every device and measuring what happened afterward, Topline Demand Control starts with the outcome, such as a flat 20 MW reduction from 4 to 7 p.m., and continuously adjusts device-level commands to deliver it.

The result is a virtual power plant (VPP) that grid operators can schedule like a generator. TDC combines three capabilities:

• Capacity forecasting that estimates how much flexible load is available in each future hour
• Event planning that lets operators request any amount at or below that available capacity
• Model predictive control that re-optimizes commands in real time so aggregate demand stays on target

This article explains what Topline Demand Control is, how it works, how it differs from traditional demand flexibility initiatives like demand response, EV managed charging, or BYOD programs, and why it matters as utilities face record load growth in 2026.

 

In This Article

• Why Topline Demand Control Matters in 2026
• What Is a Virtual Power Plant?
• What Is Topline Demand Control?
• How Does Topline Demand Control Work?
• Topline Demand Control vs. Traditional Demand Response
• Who Benefits From Topline Demand Control?
• Frequently Asked Questions About Topline Demand Control
• Glossary of Terms
• The Bottom Line on Topline Demand Control

 

Why Topline Demand Control Matters in 2026

Virtual power plants have moved from pilot projects to policy priorities, and the question utilities now ask is whether VPPs are dependable enough to plan around. The U.S. Department of Energy’s Pathways to Commercial Liftoff: Virtual Power Plants report estimated 30–60 GW of VPP capacity deployed nationally, against a need for 80–160 GW by 2030. Recent headlines show how quickly that pressure is building:

• Load growth is outpacing supply. DOE analysis puts the need for new peak capacity at roughly 200 GW by 2030.
• States are mandating VPPs. New Jersey’s governor declared an energy affordability crisis in January 2026 and directed regulators to require utility VPP programs, and about a dozen legislatures considered VPP measures this year.
• Wholesale markets are opening up. A 2026 FERC ruling found PJM was leaving at least 4.9 GW of demand-side capacity untapped in a market serving 67 million people.
• Performance proof is under scrutiny. California’s Demand Side Grid Support program brought more than a gigawatt online, yet received no new funding for next year.
• The savings are large. A Brattle Group study cited in Utility Dive found nationwide VPP deployment could save ratepayers up to $35 billion.

Experts at a recent Regulatory Assistance Project webinar described successful VPPs as aggregations that deliver targeted, predictable benefits to the grid. Predictability is exactly the gap Topline Demand Control was designed to close.

 

What Is a Virtual Power Plant?

A virtual power plant is an aggregation of distributed energy resources that is coordinated to act like a single grid resource. Common VPP resources include:

• Smart thermostats and water heaters
• Home and commercial battery storage
• Electric vehicles and EVSE
• Rooftop solar
• Commercial and industrial loads

The aggregate energy these devices save, shift, or discharge acts as “virtual” capacity, reducing the need to run or buy power from a physical plant. Because the term covers everything from a basic thermostat program to a market-bidding battery fleet, VPPs vary widely in models and use cases.

 

What Is Topline Demand Control?

Topline Demand Control is the ability to intelligently dispatch, control, and optimize DERs during a VPP event so that their combined output matches a specified aggregate load shape. In practice, this often means holding a constant “topline” that resembles a supply block from a conventional generator.

Topline demand is the instantaneous total demand of a collection of DERs. Topline Demand Control treats that total as the thing being managed, rather than the individual device settings.

Virtual Peaker founder and CEO Dr. William Burke described the shift this way: “Instead of having program managers think about sending set points to devices, they think about what they want the aggregate load shape to look like.” That change lets operators treat DERs as “supply blocks that are reliable and controllable” and fit them into the rest of the generation stack.

 

How Does Topline Demand Control Work?

Topline Demand Control works in three stages: situational awareness, planning, and execution.

1. Situational awareness. Machine learning models trained on weather, device behavior, and historical event data forecast the maximum flexible capacity available for events of different lengths, hour by hour. Capacity changes constantly; air conditioners on a hot summer evening offer far more flexibility than they do on a cool morning.
2. Planning. Operators specify exactly how much load they want in each time window, anywhere at or below the forecast maximum. They can hold capacity in reserve for later in the day instead of spending it all at once.
3. Execution. A model predictive controller compares real-time device telemetry to the plan and re-optimizes commands continuously. When some devices reach comfort limits or customers opt out, the controller rotates in others so the aggregate stays on target.

Because the models retrain as new data arrives, forecast accuracy improves the more a VPP is used, including during increasingly erratic weather.

 

Topline Demand Control vs. Traditional Demand Response

Traditional demand response sets event parameters, sends one command to every enrolled device, and evaluates results after the event ends. Topline Demand Control defines the result first and manages toward it throughout the event.

• Starting point: Traditional demand response begins with device setpoints, such as raising thermostats 2°F. Topline Demand Control begins with a target aggregate load shape, such as 10 MW held for three hours.
• Output: Demand response delivers whatever the fleet happens to produce. Topline Demand Control delivers a specified amount at or below forecast capacity.
• Load shape: Demand response typically produces a sharp drop, followed by decay and rebound. Topline Demand Control holds a flat or custom shape for the full event window.
• Control method: Demand response relies on one broadcast signal to every device. Topline Demand Control continuously re-optimizes commands at the device level.
• Measurement: Demand response results are evaluated after the event ends. Topline Demand Control tracks performance against the plan in real time.
• Grid role: Demand response functions as a program resource. Topline Demand Control functions as operational, schedulable capacity.

This distinction matters because operators discount resources they cannot predict. As industry discussions reported by Latitude Media note, VPPs are evolving from demand response programs into operational grid resources, and dispatch precision is what earns that trust.

 

Who Benefits From Topline Demand Control?

Topline Demand Control benefits grid operators, regulators, and customers by turning customer-owned devices into predictable capacity.

Grid operators and planners

• Schedule DER capacity alongside generation in the control room instead of treating it as a best-effort program
• Help defer part of the estimated $2.5 trillion in U.S. grid upgrades needed by 2035
• Add capacity quickly: distributed resources deploy in weeks to months, compared with roughly four years for most large-scale plants

Regulators and policymakers

• Evaluate VPPs within all-source procurement and integrated resource plans, because performance resembles a conventional capacity resource
• Verify results at the device, meter, circuit, and node, rather than relying on deemed savings
• Advance clean energy goals by displacing carbon-emitting peaker plants during high-demand hours

Customers

• Experience less discomfort: a 1 MW, three-hour reduction can come from 6,000 staggered devices offset by 1°F instead of 1,000 devices offset by 2°F for the full event
• Face less participation fatigue, since not every device responds to every event
• Benefit from lower system costs at a time when high bills top customer concerns

 

FAQs About Topline Demand Control

What does TDC stand for? TDC stands for Topline Demand Control, a method of dispatching aggregated DERs so their combined load follows a precise, operator-defined shape for the full event window.

Is Topline Demand Control the same as a virtual power plant? No. A virtual power plant is the aggregation of DERs; Topline Demand Control is a way of operating that aggregation so its output is precise and schedulable, often described as a next-generation VPP.

How is Topline Demand Control different from demand response? Demand response sends the same signal to all devices and measures the result afterward. Topline Demand Control sets the target result first and continuously adjusts device commands to hit it.

What devices can participate in Topline Demand Control? Any controllable DER with telemetry, including smart thermostats, water heaters, batteries, EV chargers, and commercial and industrial loads, can contribute to a topline.

Does Topline Demand Control affect customer comfort? It can reduce discomfort. Spreading smaller, staggered adjustments across a larger device population limits how much any one home is affected.

Why does Topline Demand Control matter for load growth? It lets utilities count on DER capacity in operations and planning, helping meet peak demand faster and at lower cost than new generation or grid upgrades.

 

Glossary of Terms

• Aggregate load shape: The combined demand curve of a group of devices over time.
• Demand flexibility: The ability to shift, shed, or shape electricity use in response to grid needs.
• Demand response (DR): Programs that ask customers or devices to reduce or shift use during peak periods.
• Distributed energy resource (DER): A small-scale, customer-sited device that generates, stores, or controls electricity use.
• Grid-edge DERMS: A distributed energy resource management system that connects to and controls behind-the-meter devices.
• Model predictive control (MPC): A control method that pairs real-time feedback with ongoing optimization to reach a future target.
• Situational awareness: A forecast of how much flexible capacity is available at each future hour.
• Topline demand: The instantaneous total demand of a collection of DERs.
• Topline Demand Control (TDC): Precise, sustained control of aggregate DER demand to match an operator-specified load shape.
• Virtual power plant (VPP): An aggregation of DERs coordinated to act as a single grid resource.

 

The Bottom Line on Topline Demand Control

Topline Demand Control makes distributed energy resources precise, schedulable, and measurable enough for grid operators to plan around. With states mandating VPPs, markets like PJM opening to demand-side capacity, and peak demand climbing, that precision is what separates a customer program from an operational asset.

This blog was originally published on May 22, 2024 with updates made on October 1, 2026.