
You aggregate flexibility. Are you dispatching it at the best price?
A virtual power plant is only as good as the decision of which asset to dispatch, into which market, at which hour. Run on program rules, a VPP captures a fraction of the value stacked across its fleet.
One economic decision engine, applied across the entire energy value chain — from oil & gas and power generation to renewables, storage, grids and hydrogen.
A thousand small assets dispatched as one plant — if the timing engine exists.
Aggregation value comes from co-timing, not from just connecting.
Markets pay fleets that can prove response. Proof is a decision log.
Un-priced nodes drag the whole portfolio's revenue.
Three decision-gap patterns in virtual power plants
Aggregate dispatch on program rules
Calling the whole fleet on a single program signal ignores which specific assets are cheapest to move that hour.
Asset-level opportunity cost ignored
Each asset in the fleet has its own opportunity cost. Dispatching without pricing it per asset over-uses some and under-uses others.
Market-versus-ancillary allocation misjudged
The same flexibility can serve energy or ancillary markets. Choosing wrong for the hour caps the value the fleet could have stacked.
The same engine. Your sector.
Every decision is a transparent, auditable calculation against published market prices. No black box. No fabricated results.
Ingest
Existing asset telemetry via SCADA/EMS or a file upload — no hardware to replace.
Align
Against published market signals — marginal price, scarcity, demand.
Replay
Every decision is replayed against what the economically optimal one would have been that hour.
Quantify
The economic decision gap in your currency — cited to official sources, independently verifiable.
The economic decisions specific to virtual power plants
Value-stacked dispatch
Sequence each asset into the market that pays most that hour.
Asset-level opportunity cost
Price each unit's cost of moving before it's called.
Market-vs-ancillary allocation
Route flexibility to energy or ancillary on hourly value.
Forecast-driven bidding
Pre-position fleet capacity ahead of forecast price windows.
A Decision Gap report — for your asset
Baseline — what your asset actually earned against real market prices, hour by hour.
Shadow run — the same decisions replayed with price-first logic.
Decision gap — the difference in OMR, broken down by leak type.
Top 20 actions ranked by OMR — date, hour, action taken vs. recommended.
Recovery roadmap — what captures each leak, with no software lock-in implied.
Frequently asked
We run a DR/aggregation program already. What's new?
Programs decide when to call the fleet. We decide which assets, into which market, at what opportunity cost — the layer that turns aggregation into stacked value.
Do you need per-asset data?
Per-asset dispatch history sharpens it, but we can start from fleet-level logs and refine as more granularity arrives.
How much is your virtual power plants leaving on the table?
Aggregation without economic timing is just a bigger meter.
Free 7-day diagnostic with a written guarantee — if we find no recoverable value, you pay nothing.
