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Forecasts for the energy market: electricity and gas

Load and generation forecasts with uncertainty bands, so that your trading desk is correctly positioned before the gate closure, not afterwards.

The challenge

Point forecasts are not sufficient for trading decisions

In short-term trading, the forecast determines the position. And that must be finalised before the market closes.

  • Wind, solar and load change right up until the delivery hour; intraday trading requires constantly updated figures
  • Many tools provide a figure, but no risk profile
  • Mixed portfolios comprising electricity, gas, wind and solar each require their own models
  • Manual updates take time, which is not available in trading
Prognose Energiehandel: Gasspeicher, Solarmodule und Windkraftanlagen als gemischtes Strom- und Gasportfolio

The solution

Forecasts with confidence intervals, integrated directly into your trading systems

Portfolio: Load, wind, solar and gas, in quarter-hourly or hourly intervals, in the short to medium term.

Intraday: New forecasts are generated automatically as soon as new weather data becomes available, without any action required on your part.

Uncertainty bands: confidence intervals for each point in time, rather than a single figure.

Interfaces: Via REST API to ETRM, trading and timetable systems; can also be used from Python.

The trading day

Vom Wetterverlauf bis zur Position, automatisch

Wetterupdate

New weather forecasts automatically trigger a forecast run.

Prognose mit Band

Expected value and uncertainty band for each point in time.

Übergabe

Directly into the trading system via API, without any manual intermediate steps.

Adjustments

Intraday updates show where your position needs adjusting.

We’ll show you live how your portfolio is performing.

Better positioned ahead of the gate closure

In a demo, we’ll show you how mP Xnergy forecasts load and generation in your portfolio and feeds this data, complete with a band of uncertainty, directly into your trading system.

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