mP Optimizer
Determines most optimal Forecast Model

Even with a sound understanding of the interactions of energy demand/generation and environmental variables gained from producing forecasts, the ultimate optimisation step for forecasts is the evaluation and testing of all related model parameters. mP Optimizer offers the possibility to automate the trial-and-error process evaluation of modifications to the model parameters. The objective of such evaluations is to expedite the creation of a forecast model with minimal errors, determined by a forecast simulation of all available data.

Strengths of mP Optimizer

• Minimizes the time and effort for determining an optimal forecast model
• Increases forecast stability thus minimizing the risk of deviations
• Supports seasonal specific optimisation (e.g., Summer/Winter periods)
• Enables sustainably better forecast results to be achieved