The standard approach in power forecasting is to rely solely on large-scale weather models, which provide synoptic and mesoscale insights but lack the resolution needed to capture small-scale meteorological effects like turbulence, surface interactions, and cloud dynamics. These missing details contribute to forecast deviations, increased risks for weather dependent renewable energy and higher imbalance costs.
Whiffle Forecast takes a different approach. Instead of relying solely only on large-scale weather models, it also integrates the Whiffle Large-Eddy Simulation (LES) model, a microscale weather modelling system that explicitly resolves fine-scale atmospheric dynamics at 100m resolution. This allows for a more accurate representation of local wind- and solar irradiance fluctuations.
By incorporating LES modelling as an additional forecasting input, Whiffle captures the impact of fine-scale atmospheric conditions on wind and solar generation. The result? More precise short-term forecasts, reduced errors, and sharper insights for day-ahead, intraday, and balancing market strategies.
Video: LES weather forecast for the Netherlands.
How does it work?
Whiffle Forecast offers four tailored forecasting solutions, allowing power traders to select the most relevant output data for their specific needs:
- Wind Power Forecast – Power production forecasts for wind portfolios,
- Solar Power Forecast – Power production forecasts for solar portfolios.
- Meteo Forecast – Accurate weather forecasts optimized to specific locations.
- LES Forecast – Weather data from our advanced LES model.
Forecasts are delivered via API, ensuring seamless integration into existing workflows. With deterministic and probabilistic outputs, intraday updates, and real-time data ingestion, Whiffle Forecast continuously improves accuracy, keeping power traders ahead of market fluctuations.
Whiffle Forecast at a glance
Whiffle Forecast improves accuracy with up to 30% lower RMSE compared to traditional large-scale weather models, helping power traders reduce forecast deviations, minimise imbalance costs, and make more confident decisions. It provides:
- A unique forecasting signal – Whiffle’s LES model explicitly resolves turbulence, surface interactions, and cloud dynamics, providing higher-fidelity forecasts at 100m resolution.
- Optimized for assets and portfolios – Forecasts are continuously refined using state-of-the-art machine learning algorithms and ensembles to enhance accuracy.
- API Integration & operational reliability – Forecasts are delivered through API, with proactive monitoring and dedicated support, ensuring smooth integration.
How can you get started?
Integrating Whiffle Forecast into your trading operations is straightforward. Based on your preferences, you can choose from two options:
Option 1: Trial
- Get access to a trial account
- Start with a live trial for a limited period
- Onboard a subset of your portfolio
Option 2: Subscription
- Get access to a full account
- Onboard your total portfolio
- Support by Whiffle
Onboarding is typically completed within few weeks, depending on portfolio size.
To learn more about our forecasting solutions, contact us via the form below, and we’ll connect you with one of our forecasting specialists.
