Fully automated model optimisation – without any manual intervention
mP Optimizer
Heuristic evaluation of model parameters – fully automated, scalable to hundreds of data points.
Energy forecasts are only as good as their parameterisation. However, the optimal combination of model type, time-series weighting and seasonal adjustments is virtually impossible to determine manually – certainly not for large portfolios comprising hundreds of metering points. mP Optimizer solves this problem fully automatically: it systematically tests all relevant parameter combinations against historical data and selects
the best-performing model for each metering point.
The challenge
- Manually testing different model parameters is time-consuming and prone to errors
- Seasonal fluctuations require different sets of parameters for summer and winter
- Without systematic evaluation, performance potential remains untapped
- Manual optimisation is not scalable for large portfolios
The solution
- Heuristic algorithms automatically test combinations of parameters against historical data
- Seasonal optimisation: separate sets of parameters for summer and winter periods
- Continuous re-optimisation keeps models up to date even as patterns change
- Scalable: even large portfolios with hundreds of data points are covered efficiently
Experience mP Optimizer in action
Book a personalised demo and see how mP Optimizer automatically takes the quality of your forecasts to the next level.