Short-term portfolio intelligence for renewable energy

Understand how your renewable portfolio should go to market.

WindLens combines probabilistic machine-learning models of your wind and solar assets and the markets they sell into with optimisation and counterfactual analysis. See what drives risk and revenue, test alternatives, and check whether your current setup delivers.

Analyse your portfolio See how it works
  • Probabilistic models full distributions, not single forecasts
  • Joint scenarios weather, production and prices together
  • Optimisation the best balance of result and risk
  • Counterfactuals & explanations why each result happened

Product

One model of your portfolio and the markets it sells into.

Every asset behaves differently in the market. What it costs to balance depends on how predictable it is, and on the other assets in the portfolio. The weather that moves your production also moves prices, so we model assets and markets together.

Weather & asset intelligence

Probabilistic machine-learning models trained for each asset: a full distribution of production, not a single forecast.

Power-market intelligence

Probabilistic models of system production, demand and intraday and imbalance prices, driven by the same weather as your assets.

Optimisation & explanations

Optimisation over thousands of joint scenarios gives the expected result and the downside of every choice. Every result is compared with what the alternatives would have produced, using only what was known at the time, and broken down into its drivers.

September imbalance cost €96k €21k avoidable · €75k unavoidable
WINDLENS AI Reviews your results every week and prepares your BRP and management reports. Ask it a question and it answers by running the analysis.
You Why did our imbalance costs go up last week?
WindLens AI Cost rose from €1.90 to €3.10/MWh. About half of the increase came from schedules not being updated intraday on Tuesday and Wednesday, and €0.25/MWh from a curtailment missing from the schedule. Both can be fixed. The rest was a difficult week for everyone.

What’s inside: probabilistic models, joint weather and market scenarios, optimisation, and counterfactuals that explain every result.

How it works

One model of your portfolio. Three ways to use it.

Understand what drives your risk and revenue, simulate alternatives before you commit, and monitor every week how your setup performs, with a review like the one below.

Above average Week 41 · German wind & solar portfolio, 194 MW

Weekly portfolio review — imbalance cost €3.10/MWh (4-week average €1.90)

What happened (your data, our analysis)

Imbalance cost rose by €1.20/MWh. Almost all of it came on Tuesday and Wednesday, and mostly from the two coastal wind farms. The solar park performed as usual.

What drove it

Schedules were not updated intraday after large forecast changes on both days: about €0.60/MWh. A curtailment instruction on Tuesday was not reflected in the nomination: about €0.25/MWh. The remaining €0.35/MWh came from a difficult week that no strategy would have avoided.

What was avoidable

About €0.85/MWh, roughly €7k this week. With intraday updates in place and the curtailment in the schedule, the week would have cost about €2.25/MWh.

Action points for your BRP review

1. Agree when schedules are updated intraday after a forecast change. 2. Check how curtailment instructions reach the nomination. Both come with the supporting analysis, so the discussion starts from shared facts.

An example weekly review prepared by WindLens AI. Illustrative portfolio and figures.

1

Tell us about your portfolio

The assets, how they are sold today, and any production data you can share.

2

We model and analyse it

What drives risk and revenue, what can be avoided, and which alternatives are worth testing.

3

We keep it running

A weekly analysis and material for your BRP reviews.

4

You decide, with your BRP

Clear evidence for contract reviews and strategy changes. The decisions stay with you.

WindLens AI

Ask the model, not just the data

WindLens AI works on top of your portfolio model. It reviews your results every week and prepares your BRP and management reports. Ask it a question and it answers by running the analysis, and explains what drove the result.

You “How much of last month’s cost could we have avoided?”
WindLens AI About €21k of €96k, mostly on days when the forecast was very uncertain. The other €75k would have happened however the schedule was set.

Who it's for

Built for the people who own and manage renewable portfolios

Most renewable assets are sold through a BRP, an aggregator or a trading desk. WindLens gives each side a clear view of what drives risk and revenue, and what could change it.

Asset owners & IPPs

Understand how your portfolio trades and what drives its costs, independently of your BRP, and go into contract reviews with your own numbers.

BRPs & aggregators

See what a new asset really adds to your portfolio, not just its own history, before you price the contract.

Trading teams

We quantify the risk of every possible scenario in real time, so you can make better short-term decisions.

Founded on research at EPFL and MIT.

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