
Power markets demand precise forecasting to minimize imbalance costs, optimize trading strategies, and ensure grid reliability. Whiffle Forecast leverages advanced Large-Eddy Simulation (LES) technology, state-of-the-art machine learning and seamless operations to provide you with the accuracy and forecasting insights essential for mitigating trading risks effectively.
Forecasting solutions tailored to match your needs
Meteo forecast
Accurate weather forecasts tailored to specific locations, leveraging Whiffle’s LES model to provide high-resolution insights into wind speeds, solar irradiance, and atmospheric conditions.

Data precision you can rely on
Our LES model achieves a typical bias lower than 36% compared to meso-scale models*, due to its high-resolution modelling capabilities.
* Comparing error statistics of 125 sites with NEWA data.

Data precision you can rely on
Our LES model achieves a typical bias lower than 36% compared to meso-scale models*, due to its high-resolution modelling capabilities.
* Comparing error statistics of 125 sites with NEWA data.

Data precision you can rely on
Our LES model achieves a typical bias lower than 36% compared to meso-scale models*, due to its high-resolution modelling capabilities.
* Comparing error statistics of 125 sites with NEWA data.

Gain a competitive edge in power trading
Unlike standard forecasting approaches that rely solely on large-scale weather data, Whiffle Forecast integrates Large-Eddy Simulation (LES) technology to resolve fine-scale atmospheric dynamics, delivering hyper-local forecasts that reduce forecast errors.
Standard models

- Large-scale weather conditions

- Machine learning
Whiffle Forecast

- Large-scale weather conditions

- Whiffles LES Model

- Machine learning
Forecasting solutions tailored to match your needs
Unique forecasting signal
Whiffle’s LES-powered forecasts deliver hyper-local (<100m) resolution, capturing fine-scale atmospheric phenomena that traditional models miss—empowering better power trading decisions.


Enhanced by machine learning
Advanced algorithms optimize forecasts for wind and solar assets, turning atmospheric data into actionable insights tailored to your specific needs.
Proven accuracy
Up to 30% lower RMSE compared to standard weather models, helping power traders minimize imbalance costs and improve results.


Operational excellence
Seamless API integration, proactive monitoring, and dedicated support ensure reliable, hassle-free operations.
Whiffle Forecast: Features
- Park or portfolio-level forecasts tailored to your needs
- Deterministic and probabilistic models for accurate predictions
- Forecast horizon up to 7 days ahead
- Intraday updates for real-time adjustments
- Integration of real-time observations for enhanced accuracy
- Adjustments for availability and curtailment factors
- Forecasting without requiring historic observations
- Seamless data sharing via API and SFTP
Whiffle Forecast is available through an API
Scalable for a single farm or diverse renewable portfolios, it ensures smooth data access alongside dedicated support and continuous optimization. Here’s how it works:
Step 1
Client posts asset metadata and observations
Step 2
Whiffle will process the data and onboards your asset(s) within 2 weeks
Step 3
Client gets a notification that it can retrieve forecasts of their asset(s) according their specifications
How we work with clients
Scalable for a single farm or diverse renewable portfolios, it ensures smooth data access alongside dedicated support and continuous optimization. Here’s how it works:
Option 1: Trial
- Get access to a trial account
- Start with a live trial for a limited period
- Onboard a subset of your wind- and/or solar portfolio
Option 2: Subscription
- Get access to a full account
- Onboard your total wind- and/or solar portfolio
- Support by Whiffle
What our clients say
Exceeds expectations
“Whiffle has exceeded our expectations with its good data quality and pleasant cooperation. They are responsive to feedback and actively engage with us to refine and customize their solutions to better meet our needs. This proactive approach has led to improvements in our business processes that we hadn’t anticipated. Unlike other providers, where our feedback might be overlooked, Whiffle’s readiness to adapt and tailor their services has been a significant advantage.”
-Taco Kuipers, Short term trader & forecaster, Essent
This is innovative
Whiffle’s ultra-high-resolution atmospheric model optimizes wind energy operations by improving power production forecasts and refining wind resource assessments.
-Gemma K. Whiffle
Amazing product!
For wind energy applications, Whiffle’s ultra-high-resolution atmospheric model enhances power generation forecasts and improves wind resource assessments.
-Eva .K , Whiffle
Success stories

Wind resource modelling of entire sites for GE Onshore Wind
GE Renewable Energy and Whiffle unite forces under a Joint Development Agreement (JDA) to enhance wind energy applications. Whiffle’s pioneering ultra-high-resolution atmospheric Large Eddy Simulation (LES) modelling offers GE unrivalled insights into wind climate characteristics. Powered by cutting-edge high-performance computing, Whiffle’s weather model promises to revolutionise wind turbine placement, enhancing Annual Energy Production (AEP) for GE’s global clientele.
This strategic partnership signals a leap into the future of wind energy, combining precision forecasting with advanced simulations. Industry leaders like GE find a strategic ally in Whiffle, as the alliance promises to tackle the intricate challenges of wind energy optimisation.

Shell teams up with Whiffle for accurate wind turbine siting
A dynamic collaboration unfolds as energy leader Shell teams up with Whiffle to overcome a pivotal challenge in wind energy. Whiffle’s advanced weather prediction technology emerges as the solution, allowing Shell to meticulously position wind turbines by accurately forecasting cloud cover, wake effects, and more.
This partnership not only redefines renewable energy strategies but also showcases the potential of data-driven innovations in navigating complex wind turbine siting. Stay tuned for an in-depth exploration of this strategic partnership, spotlighting how Whiffle’s high-fidelity weather model is poised to reshape the landscape of wind energy for industry frontrunners like Shell.

Pondera harnesses Whiffle’s technology to advance wind flow modelling
By harnessing Whiffle’s innovative ultra-high-resolution atmospheric simulation model, Pondera attains an unparalleled understanding of wind behavior, including intricate factors like cloud cover, wake effects, and land-sea interactions. This dynamic partnership empowers Pondera to navigate the complexities of wind resource assessments and optimize energy yield predictions with precision. Whiffle’s unique approach redefines wind flow modeling, offering a granular view that holds the potential to revolutionize wind farm siting and planning.
Stay tuned for an in-depth exploration of this synergy, unraveling how data-driven insights are reshaping the renewable energy landscape through Pondera and Whiffle’s strategic alliance
Frequently Asked Questions
Can I run multiple simulations in parallel?
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Does Whiffle Wind account for forest canopy effects?
Yes, Whiffle’s LES model accurately captures forest canopy impacts, including height and density, making it ideal for onshore projects in forested areas.
What sets Whiffle Wind apart from WRF-based LES models?
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
How does Whiffle ensure that the selected set of days accurately represents the long-term climate?
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
How do I get started with Whiffle Wind?
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.