Renewable Energy Forecasting
A forecast is a commitment, and the grid settles it in every block of the day.
A forecasting and scheduling workspace built to the grid’s own unit of account. The work is the fifteen minute block; the consequence is the deviation settled against it. Accuracy here is not a marketing claim but a position that is priced.
Independent power producers, captive and open-access generators, coordinating agencies, and utility scheduling teams
Block-level forecast error · ramp recall · deviation charge avoided
Forecast error becomes a charge in every block of the day, and most generators can see the total without seeing which blocks produced it, or why.
Schedule-ready block forecasts with bands that hold up under back-testing, portfolio roll-ups, and a settlement view that attributes each unit of deviation to a cause a scheduler can act on.
What it does, stated plainly.
The demand is structural, not seasonal.
For a variable generator, forecasting is an obligation rather than a discretionary purchase. We have shaped the product around that obligation instead of around it, because accuracy here is not a claim to be marketed but a position to be settled.
- Settlement is block by block
- Schedules are submitted ahead of the day and deviation is settled against each block, so accuracy has a direct price.
- Obligation starts small
- Forecasting duties bind plants well below utility scale, which puts the requirement on operators with no forecasting team.
- One agency, many generators
- Generators sharing a connection point are coordinated through a single agency that forecasts, schedules, and settles on their behalf.
- Rules keep moving
- Regulators actively revise deviation frameworks, and each revision reopens arrangements that generators already have in place.
What is built, and what is not.
An evaluator's first job is to find the gap between the claim and the code. Stating it first is faster for everyone, and it is the part of a pilot conversation that determines whether the rest is worth having.
- Forecasting workspace over representative plant and weather data
- Probabilistic band generation and ramp alerting
- Portfolio aggregation and deviation attribution views
- No production scheduling integration with a system operator
- Accuracy claims require back-testing on a design partner's own history