Turn energy data into governed decisions
Power markets, generation fleets, and grids produce more signal than any desk can read. We deploy agents that forecast, analyze, and report on that data — under FERC, NERC, and ISO rules, with a human on every consequential call.
- Load & price forecasting
- Market signal analysis
- Asset & grid telemetry
- Emissions & ESG reporting
The data is faster than the desk
Energy runs on numbers that change by the minute and matter to the regulator.
A modern energy operation drowns in time-series: nodal LMPs settling every five minutes, weather ensembles, SCADA and historian tags from every turbine and substation, fuel curves, outage schedules, and a market design that differs in every ISO. Analysts can only watch a fraction of it in real time, and the parts they miss are where money and reliability leak away.
It is also one of the most heavily supervised data environments in the economy. FERC's anti-manipulation rules mean a careless forecast or bid can become an enforcement matter. NERC CIP governs how you touch operational systems. ISO tariffs dictate what you can submit and when. So the answer is never just "more automation" — it's automation that is fast enough to matter and disciplined enough to defend.
Where agents earn their keep
Specific, high-signal jobs across forecasting, markets, assets, and reporting.
Load & price forecasting
Agents pull weather ensembles, historical load, and outage data to produce day-ahead and intraday forecasts — pinned to a model version and reproducible on demand.
Market signal analysis
Continuous reads of nodal LMPs, congestion, and ancillary prices across PJM, ERCOT, CAISO, MISO, and SPP, surfacing the spreads a human should look at now.
Bid & offer preparation
Agents assemble day-ahead and real-time offers from your position and unit economics, staged behind risk limits and a trader's approval before anything reaches the ISO.
Asset & grid telemetry
Watch historian and SCADA tags across the fleet for drift, derates, and anomalies — flagging the failure pattern hours before it trips a unit.
Emissions & ESG reporting
Assemble Scope 1/2 emissions, EPA CEMS, and regulatory filings from source meters — with the underlying figures traceable for every disclosed number.
Settlement reconciliation
Reconcile ISO settlement statements against your own meter and trade records, isolating the line items worth disputing inside the tariff window.
From feed to defensible answer
A pipeline built so every output can be reconstructed later.
Ingest
Agents read your historian, SCADA, market feeds, and weather inside your perimeter — under your OT/IT segmentation.
Reason
A pinned model produces the forecast, signal, or report, recording its inputs and assumptions as it goes.
Gate
Anything that bids, trades, or files passes a risk threshold and a human approval before it leaves the building.
Record
Inputs, model version, rationale, and approver are logged — one query reconstructs any number you submitted.
Fast enough to matter, disciplined enough to defend
In energy, the difference between a useful agent and a liability is the audit trail. A forecast that informed a bid, or a number that landed in a regulatory filing, has to be reproducible months later — to your risk desk, your auditor, or FERC.
So every consequential action runs through a governed layer: position and risk limits on anything market-facing, human approval before submission to an ISO, and full decision lineage on forecasts and disclosures. The agents move at market speed; the controls keep you inside FERC, NERC CIP, and ISO tariffs.
- Position & risk limits on market-facing actions
- Human approval before any ISO submission
- Reproducible forecasts pinned to model & inputs
- OT/IT segmentation honored, NERC CIP-aware
An analyst dashboard vs. an energy-intelligence agent
Why a watching, acting agent is a different tool than a chart you stare at.
| A dashboard | An Automatic.co agent | |
|---|---|---|
| Coverage | What you happen to be looking at | Every feed, every interval, continuously |
| Output | Charts you interpret | Forecasts, flagged spreads, drafted bids |
| Speed | As fast as the analyst | Keeps pace with 5-minute settlement |
| Defensibility | Screenshots and spreadsheets | Pinned model, inputs, and approver on record |
| Controls | Trust the user | Risk limits and approval gates by design |
Frequently asked questions
Can an agent trade or bid into wholesale markets autonomously?
Only inside the limits you set. We deploy market-analysis and bid-prep agents that assemble offers, but execution into ISO/RTO markets sits behind position limits, risk thresholds, and a human approval gate — with every input and rationale logged for the trade-surveillance record.
How do you handle FERC and RTO data-integrity obligations?
Forecasts and bids carry consequences under FERC anti-manipulation rules and ISO tariffs. Every agent decision keeps full lineage — source feeds, model version, assumptions, and the human who approved it — so you can reconstruct any number you submitted to PJM, ERCOT, CAISO, MISO, or SPP.
Where does our SCADA, historian, and market data stay?
Inside your perimeter. Agents read your PI/historian, SCADA, and market feeds in your VPC or on-prem, behind your OT/IT segmentation. Nothing about your generation fleet or trading positions leaves your environment, which also keeps you on the right side of NERC CIP.
Will the forecasts be defensible to regulators and auditors?
Yes. Each forecast is reproducible: pinned model, pinned inputs, and a recorded set of assumptions. When a regulator, an auditor, or your own risk desk asks why a day-ahead number looked the way it did, the answer is one query away.
Related work across energy & beyond
Bring one forecast you can't defend yet.
A working session to map your data feeds and the path to agents your risk desk and FERC can both live with.