Use Cases
Sunairio delivers actionable intelligence for quantitative decision-making in power markets and utility operations. We built our platform for energy traders, independent power producers (IPPs), grid operators (utilities, ISOs/RTOs, LSEs), demand response (DR) aggregators, virtual power plant (VPP) operators, and anyone who needs a differentiated view of risk.
Trading
Probabilistic trading and hedging strategy
Turn market uncertainty into calculated advantage with ensemble-based forecasting that reflects true price distributions.
- Granular data in high dimension
Each ensemble represents an equally likely forecast path of hourly weather and the resulting load, wind generation, solar generation, and generation outages
- Accurate distributions
When used as an input to skillful price models, the resulting price model ensembles reflects accurate realized price distributions
- Easy calculations
Enables easy, probabilistic risk-reward calculation against any market level
Renewables
Asset-level renewables forecasting
Maximize generation forecast accuracy with site-specific modeling that captures the unique characteristics of every asset and accounts for every variable affecting your generation.
- A multi-step approach
Model generation potential leveraging engineering-based models of ideal hourly output, enhanced with site-specific availability and curtailment-adjusted forecasts
- For wind energy
Models leverage additional CFD-based wind field downscaling & waking, specific to any coordinate and any height (from 2 m to 300 m)
- For solar energy
Models leverage PVlib modeling and account for irradiance and cloud cover trends
- Customizable for IPPs & utilities
Calculate probabilistic availability and potential curtailment losses from variable renewable generation
- Machine learning enhancement
Default energy models can be made hyper-accurate via ML adjustments from operational data
Portfolios
Climate-aware portfolio risk management
Build resilient portfolios with financial models linked to the full spectrum of weather-based risk. Make investment decisions grounded in actionable climate data across your entire asset base.
- Climate-adjusted weather and asset performance
Incorporate CMIP6 climate model dynamics into TMY and 8760 forecasts without additional work
- Accurate correlations
Calculate accurate VAR and CVAR on a portfolio that includes weather-based risk from load, wind, and solar — with true correlations and distributions
- Long-term confidence
Be confident that climate risks are properly incorporated into long-term analyses
Reliability
Planning for grid reliability
Anticipate grid stress by forecasting the intersection of hourly load, renewable energy output, and dispatchable capacity availability.
Leverage a single platform to guarantee reliability over operational and planning time horizons. Use Sunairio ONE:
- In the short term and medium range for grid operations
- Over seasonal time periods for seasonal planning
- In the long term for resource adequacy studies and integrated resource plans (IRPs)
Peak
Managing peak demand and peak net demand
DR aggregators and VPPs can gain actionable, probabilistic forecasts that fill in critical visibility gaps beyond the standard 14-day weather forecasting window.
- For capacity programs
Forecast the likelihood of hourly load peaks to support smart implementation of capacity-shaving program notices with probabilistic forecasts that span the entire measurement period (i.e. full month, season, or year) instead of guessing about what comes after the 14-day weather forecast period. Better intelligence = fewer and more accurate customer notices, reducing the risk of alert fatigue and noncompliance.
- For economic programs
Confidently forecast the risk of hourly net load + market price spikes days and weeks before your competition, giving your customers the lead time they need to ensure event participation and maximum revenue benefit.