Wakeline
Solar panels at sunset Research / Production

For Energy Price Forecasting

Market Edge

83 live market streams in. Exchange-ready decisions out. Learning continuously in between.

The problem

Static Intelligence Leaves Money on the Table

Battery storage revenue depends on accurate day-ahead price forecasts. When market conditions shift, traditional models degrade.

Missed regime changes mean:

  • Mistimed charge and discharge decisions
  • Lower capture rates
  • Reduced trading margins

Power markets are dynamic.

Forecasts that cannot adapt quickly lose value.

The solution · Market Edge

Intelligence That Adapts to Market Change

Built on Wakeline's continuous learning system, Market Edge updates its internal assumptions as market behavior evolves.

In this environment, intelligence must:

  • Learn from new market outcomes daily
  • Adjust to regime shifts
  • Maintain memory of recent dynamics

No manual tuning. No custom configuration. No retraining cycles required.

Improving as it runs, it gives you the Market Edge.

What it sees

The Full Physical Picture Behind the Price

Market Edge does its work on live data rather than on a curated dataset. It perceives the German-Luxembourg bidding zone through 83 parallel input streams at 15-minute resolution, covering every TSO control area.

  • 4 load streams – one per control area: TenneT, 50Hertz, Amprion, TransnetBW
  • 57 generation streams – by fuel type per TSO: wind, solar, lignite, hard coal, gas, hydro, biomass
  • 22 cross-border streams – flows with all neighboring zones, tracked per direction

Everything that moves the price, arriving continuously.

The German-Luxembourg bidding zone: four TSO control areas, 4 load streams, 57 generation streams and 22 directional flows connecting eleven neighboring zones.

What you get

Continuous Perception, Discrete Outputs

Perception never stops: the system learns online from every 15-minute update, with no retraining cycles, so its understanding always reflects the current state of the market. The outputs are shaped around how you operate.

A 24-hour timeline: continuous online learning and live forecasts every 15 minutes, with the day-ahead bundle by 11:45 CET before the 12:00 SDAC gate closure.

Continuous input-stream forecasting

Prices, load and key generation streams on a rolling horizon.

Every 15 minutes

Day-ahead price curve

15-minute €/MWh for the DE-LU delivery day.

Daily · by 11:45 CET

Optimal dispatch schedule

State-of-charge-feasible charge and discharge plan for the full delivery day.

Daily · with the price curve

Exchange-ready bid book

Bids for the 24h delivery window, ready for submission.

Daily · with the price curve

How it works

Market Edge Module

Market Edge ships as a module that connects to your existing systems through a single API. There is no platform to migrate to and no retraining pipeline to operate. You stream your market and asset data in, the system begins learning from the first update, and everything it learns remains specific to your deployment.

It enables existing systems to improve and adapt without pausing to be retrained, rebuilt, and restarted.

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Market Edge

Market Edge Beta

During the closed beta phase, we are working with a select group of energy traders, utilities, renewable operators, and storage providers across Germany, the UK, and the Nordic region to refine Market Edge's API integrations and operational workflows.

We are currently onboarding a limited number of partners for the closed beta. If you operate in European energy markets and are interested in exploring adaptive forecasting approaches, we would be happy to start a conversation.

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