mP Scenario

Scenario analyses and Monte Carlo simulations for better decision-making under uncertainty.

Parallel scenario calculations

Monte Carlo simulation for reliable forecast ranges

Early warning of negative prices and flexible routing

A point forecast is an assumption. mP Scenario visualises the uncertainty band: parallel
calculations based on different weather inputs, Monte Carlo simulations, if-then conditions. mP Scenario identifies situations covered by Section 51 of the EEG at an early stage.

Key features of mP Scenario

  • Parallel scenario calculations: best-case, worst-case and normal-case scenarios simultaneously
  • Monte Carlo simulation: probability-based scenarios for temperatures,
    feed-in and consumption
  • Confidence intervals: automatic calculation of upper and lower limits
  • If-then conditions: Rule-based scenarios – e.g. ‘If temperature < 0 °C, then
    adjust heating load’
  • Range of generation and consumption: see early how wide the band is and adjust storage and schedules in good time
  • Flexible output routing: Send different scenarios to different target systems

Making uncertainty visible

Watch a personalised demo to see how mP Scenario calculates best-case, worst-case and range scenarios in parallel and alerts you to negative prices at an early stage.

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