1
Forecast uncertainty
Model renewable generation and price ranges over 24h, 48h, and 72h horizons with quantile-style outputs.
GridRisk
Renewable Market-Risk and Dispatch Intelligence
Renewable market-risk and dispatch intelligence for probabilistic generation, price, revenue, storage, and downside-risk scenarios.
Product profile
TypeRenewable market-risk and dispatch intelligence prototype
StatusResearch / decision-support prototype
BoundaryResearch decision support only
Problem
Renewable decisions need uncertainty-aware scenario thinking.
GridRisk is designed for planning, research, and technical review contexts where renewable generation, price exposure, dispatch, and storage assumptions need to be compared carefully.
Renewable output, market prices, curtailment, and dispatch choices all move under uncertainty.
Storage and flexibility decisions need downside-risk visibility, not only central-case revenue estimates.
Analysts need fast scenario comparison without presenting a research prototype as operational control software.
How GridRisk works
From forecasts to dispatch and downside-risk comparison.
The prototype connects uncertainty-aware forecasts with scenario assumptions and reporting outputs, while keeping production-control boundaries explicit.
2
Set risk appetites
Compare dispatch assumptions, downside scenarios, curtailment levels, and storage optionality under different risk preferences.
3
Analyse outcomes
Inspect revenue distributions, CVaR-style diagnostics, downside exposure, and scenario tables.
4
Export or integrate
Use the Streamlit dashboard, report exports, Excel-style outputs, or API prototype for technical review workflows.
Core capabilities
Risk analytics for generation, market prices, dispatch, and storage.
GridRisk focuses on research-grade decision support, not automated trading, dispatch execution, or live grid-control actions.
Renewable generation uncertainty
24h / 48h / 72h forecasting
Quantile forecasts
Rolling conformal calibration
Market price scenarios
Dispatch risk appetites
Dispatch-risk comparison
CVaR/downside-risk diagnostics
Storage optionality analysis
Storage comparison
Excel/report exports
Streamlit dashboard
API prototype
Example users
Built for analysts and technical teams evaluating renewable risk.
The prototype is useful where teams need to compare assumptions, communicate uncertainty, and review downside exposure before any production engineering decision.
Renewable asset owners
Energy analysts
Storage operators
Flexibility teams
Consultants
Technical methods
Research-grade methods for uncertainty and tail-risk diagnostics.
GridRisk is framed as a technical prototype for modelling and discussion. Methods and assumptions should be validated before any production or commercial use.
Quantile forecasting for uncertainty-aware generation and market views
Rolling conformal calibration to monitor interval reliability
Scenario engines for price, dispatch, curtailment, and storage assumptions
CVaR and downside-risk diagnostics for tail-risk conversations
API prototype patterns for integration discovery, not production control
Outputs
Dashboard, API prototype, and report exports.
Outputs are designed for analysis, review, and communication rather than operational execution.
Streamlit dashboard
Interactive prototype for reviewing forecasts, dispatch assumptions, and scenario comparisons.
API prototype
Technical interface for exploring how scenario outputs could move into other tools.
Excel/report exports
Exportable tables and report-style outputs for review, research, and stakeholder discussion.
CTA
Discuss a renewable risk study or prototype review.
Our technical team can help scope the assumptions, data, and outputs needed for a credible decision-support prototype.