Determines the best Forecast Model
mP Optimizer enables determination of the best possible forecast model across all calculation methods.
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 fully automate the trial and error process evaluation of modifications to the model parameters. The objective of such evaluations is to achieve a forecast model with minimal errors that has been determined based on 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 minimizes the risk of deviations
- Supports time period specific optimisation (e.g. Summer/Winter periods)
- Enables sustainably better forecast results to be achieved
Integrated Scenario Analysis and Calculation
mP Scenario is an option for mP Energy that supports elaborate scenario calculation and analysis. This allows the user, for example, to evaluate how a customer behaves under different conditions – whether by applying different weather forecasts, constructing “what-if” scenarios or by performing Monte-Carlo simulations varying the different predictors in use by the current model. mP Scenario can compute and deliver different forecast results stemming from variations performed on a project’s input data set. That includes defining an unlimited number of so-called “data variants” (e.g. normal-, high- and low-temperature forecasts).
A Monte-Carlo simulation module allows probabilistic conditions to be simulated (for instance, varying the temperature from the current forecast along with a Gaussian distribution with a configurable width). The different results and confidence intervals computed by the module can be delivered to separate systems: e.g. the high and low scenarios are fed to a different system from the standard forecast results. mP Scenario offers improved risk quantification and analysis by providing users with a tangible means to measure the variability of their forecasts.
Let’s you define and automate your forecasting tasks & workflows – powerful & flexible!
For automating the execution of one-off or multiple recurring tasks, without the need for any individual programming.
Comes with a powerful and configurable workflow engine that enables Users to readily define their own workflows according to their requirements. Workflows can also be accessed and triggered from an external system via a web service interface.
Can be used for literally any type of task, e.g.
- Forecast automation, define & select your tasks or processes to be automated, from step-by-step to fully automated
- Initiate and execute specific Save, Move, Delete or Delivery tasks
- Execute tasks on a pre-defined time driven basis or according to specific conditions or situations
mP Workflow is a service that can be used to control the initial creation of forecast projects and time series. The service runs in the background and executes all defined steps. A Workflow Monitor monitors and controls the entire workflow process and sends an alert in the case of irregularities occurring.