Context
Use Case
Energy Day-Ahead
A proposed Harus use case for probabilistic energy day-ahead scenarios using market, grid, weather, calendar, and contextual signals.
Proposed use case
Forecast
Probabilistic paths
Model a range of possible hourly outcomes instead of one deterministic number.Decision
Risk-aware planning
Compare scenarios with visible uncertainty before submitting day-ahead positions.Signal architecture
Model the market context around every hour.
A future implementation would define market-specific data contracts for prices, demand, weather, calendar effects and grid conditions before training or evaluation begins.
Decision output
Plan for a range, not a promise.
Probabilistic paths are intended to show expected movement and the uncertainty around it, supporting reviewable day-ahead decisions.
FAQ
Energy Day-Ahead
Is Energy Day-Ahead already implemented?
No. It is a proposed Harus vertical. Energy data contracts, market-specific protocols and backtesting are not implemented yet.
What would the forecast produce?
The intended output is a probabilistic range of hourly price or load paths, with assumptions and contextual signals available for review.
How is this different from a point forecast?
The design exposes multiple plausible outcomes so planners can assess downside, expected and upside scenarios instead of relying on one number.
explore the
forecasting engine
Discuss the proposed Energy Day-Ahead workflow with Nauron.
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