WindLens — Risk intelligence for renewable trading

Product

From production risk to bid position.

Your asset’s production risk, the system’s imbalance state, and live market signals feed a revenue risk engine that computes the optimal position for your risk tolerance. An AI agent can run the full analysis so you focus on the decisions.

Asset risk intelligence

We work on top of your existing forecasts, any provider, any vintage. Our models learn how your asset behaves under different conditions: when production is most uncertain, and which conditions historically translate into the biggest revenue losses.

Market context

Active price and imbalance drivers (REMIT events, grid outages, demand shifts, intraday liquidity) translated into concrete impact on your portfolio’s exposure.

Revenue risk engine

For every plausible production scenario, we compute the price and imbalance impact under current market conditions. The result is a full revenue distribution: where the tail risk sits, what drives it, and the optimal position for your risk tolerance.

Bid position 52 MW for 14–18 CET

AI AGENT A trader-like layer over the algorithmic bid. Push back, ask “what if”, take more or less risk.

You GFS frontal timing looks tighter than yesterday. What if we push to 60 MW?

Agent At 60 MW: €1,400 more downside, €2,100 more upside, net +€420. Sits at the top of your moderate-conservative band. Want me to size an intraday hedge to keep the upside without the tail?

Three ways to act on the same risk picture: a clean bid signal piped into your workflow, a dashboard you can read and audit, or an AI trading agent you can reason with.

How it works

The full picture, delivered to you

WindLens connects your portfolio’s production risk to market context and delivers a full revenue risk analysis you can read and act on. When you want it, an AI trading agent takes the analysis off your plate.

High risk Tomorrow 14:00–18:00 CET

Revenue risk alert — Offshore Wind Park North Sea

Asset uncertainty (your data, our analysis)

Three distinct scenario clusters from your forecast for 14:00–18:00. High wind (35%): 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 — one step beyond

The risk engine’s optimal position is 52 MW. Beyond that, the agent suggests hedging 8 MW in intraday before the 10:00 gate closure while liquidity is still there. If you want to lean into the ECMWF central case, take more risk on the GFS scenario, or talk through a different stance, ask — the agent re-runs the trade-offs with you in seconds.

How a WindLens briefing reads on a high-risk window.

1

You connect your data

Your forecast feed, site layout, historical production, and market position.

2

We characterise your portfolio’s risk and the market context

Production uncertainty calibrated to your site, market and imbalance signals scored continuously.

3

Adjusted bid positions tuned to your risk tolerance

With the full risk analysis underneath, and AI-agent-suggested moves on top.

4

You act with confidence

Follow, adjust, or override. You stay in control.

AI trading agent

An AI trading agent that thinks like a trader

The risk engine gives you a baseline position. The agent goes further. Push back on it, ask “what if”, lean into a market view, hedge an exposure. The trade-offs come back in seconds, and you stay in control.

You “What if the front comes in early? Push to 60 MW.”

Agent At 60 MW: €1,400 more downside, €2,100 more upside, net +€420. Want me to hedge 8 MW intraday before gate closure?

Who it's for

Built for the teams who act on risk

Operators, traders, and IPPs who need to understand their exposure to make better decisions.

Operators

See where revenue risk sits in your portfolio before it hits your P&L, and plan dispatch, curtailment, and maintenance against it.

Traders & schedulers

See where each market event shifts your imbalance exposure. Optimise day-ahead and intraday positions with a risk picture that updates continuously.

IPPs

Quantify revenue risk at the portfolio level. Allocate positions across assets and markets based on your risk tolerance.

Founded by researchers from EPFL and MIT. Active wind pilots in Europe. Solar pilots starting.

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Get in touch

Book a demo or ask a question

Tell us about your assets, your market exposure, and your risk tolerance. We’ll show you what WindLens looks like for your portfolio.

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Risk intelligence for renewable trading.