Trading intelligence for wind energy
Interpretable, site-specific probabilistic forecasts. Market intelligence that tells you what’s driving prices and imbalance. A risk engine that combines both into revenue scenarios — so you can bid optimally for your risk tolerance. And an AI agent that runs the analysis when you don’t have time.
Product
Probabilistic forecasts and market intelligence flow into a revenue risk engine that computes optimal positions for your risk tolerance. An AI agent can run the full analysis — you focus on the decisions.
Site-specific scenario distributions with interpretable drivers — terrain, wake effects, model divergence. Each scenario maps to a production outcome you can read and understand.
Price drivers and their concrete impact on imbalance — REMIT alerts, grid events, gas outages, demand shifts, intraday liquidity.
For every forecast scenario, computes the price impact from active market conditions — full probability distribution of your revenue outcomes. See which events carry the highest impact, where your tail risk sits, and what the optimal position is for your risk tolerance.
WindLens helps you understand how your positions perform under real market conditions — because that’s what drives revenue.
WindLens is modular — use it for volume risk, market risk, or the full picture depending on your exposure.
How it works
WindLens gives you interpretable forecasts, market context, and a full revenue risk analysis you can read and act on. When you need it, the AI agent runs the analysis for you.
Forecast uncertainty
Three distinct scenario clusters for 14:00–18:00. High wind (35% probability): 78 MW — GFS frontal passage timing. Central (40%): 58 MW — ECMWF ensemble mean. Low wind (25%): 42 MW — delayed front, wake-amplified losses. Your schedule: 65 MW. Key driver: GFS and ECMWF disagree by 8 m/s on frontal timing.
Active price drivers
REMIT: 400 MW gas plant offline in DE until Thursday — upward pressure on imbalance prices. High wind penetration across North Sea — curtailment risk increases negative price probability. Industrial demand below seasonal average — dampens intraday upside. Net effect: imbalance prices skewed positive at €120/MWh (vs. €45 avg).
Revenue risk analysis
High wind scenario (35%): overproduction of 13 MW × elevated negative imbalance → penalty €3,400. Central (40%): minor deviation, exposure €800. Low wind scenario (25%): underproduction of 23 MW × €120/MWh imbalance → penalty €6,900. Weighted expected penalty at current position: €3,200. Optimal position for your risk tolerance: 52 MW.
AI agent recommendation
Reduce day-ahead position to 52 MW for hours 14–18. Hedge 8 MW in intraday before 10:00 gate closure while liquidity is available. Expected penalty reduction: €2,400. Optimised for your configured risk tolerance (moderate-conservative).
Example WindLens briefing — probabilistic forecast scenarios, market price drivers, revenue risk analysis, and an optimal position recommendation.
Site layout, historical production, and market position.
Weather models, simulations, and market feeds — around the clock.
Forecasts, market drivers, and revenue risk — read it yourself or let the agent analyse.
Follow, adjust, or override. You stay in control.
Who it's for
Operators, traders, and IPPs who need to understand their risk to make better decisions.
Plan dispatch, curtailment, and maintenance with confidence. Understand how forecast uncertainty translates into revenue risk before it hits your schedule.
Optimise day-ahead and intraday positions using the full revenue risk picture. See how each market event shifts your imbalance exposure and bid accordingly.
Optimise portfolio performance across assets and markets. Understand revenue risk at the portfolio level and allocate positions based on your risk tolerance.
Founded by researchers from EPFL and MIT. Active pilots running on real production data.
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Get in touch
Tell us about your assets, your market exposure, and your risk tolerance. We’ll show you what WindLens looks like for your portfolio.