Methodology

Welcome to EnAuxo GmbH
Engagement and Commitment to our Clients.

Four Guiding Principles

TRANSPARENCY

Data validation
Rigorous, time-intensive data collection from established, reputable sources, validated in close collaboration with country and subject-matter experts.

Handling of outliers
Extreme Wetterereignisse, geopolitische Risiken oder Rohstoffschocks werden explizit über Sensitivitäten modelliert und ausgewiesen.

Geographical consistency
Clearly defined geographical scope and explicit representation of relevant price zones for each analysis.

Bankability

Bankable analysis for financing
Projections are consistently optimised with the PLEXOS market model for financing, investment, and transaction decisions and are fully auditable.

Governance & quality assurance
An international modelling council regularly reviews assumptions, updates, and methodological developments..

Model calibration & backcastings
Historical calibration as a key prerequisite for bankable long-term forecasts.

credibility

Credible results
All model outputs are fully consistent with the underlying assumptions; there are no black-box effects, and all price drivers and trends are transparent and fully explainable..

Model calibration & backcasting
Regular backcasting using historical data to calibrate, fine-tune, and ensure the robustness and accuracy of forecasts..

Market and merit-order logic
Cost-minimising optimisation along the merit order and marginal generation as an economically consistent foundation.

FORESIGHT and long-term views

Scenario integrity and consistency
A broad range of uncertainties is captured through the consistent variation of key supply and demand drivers, covering approximately a 90% confidence interval.

Market Monitoring & Integration
Continuous incorporation of evolving market, regulatory, and technological developments.

Handling of outliers (secondary)
Systematic modeling of structural disruptions and stress scenarios.

Further key aspects

  • Scenario integrity.
  • Rigorous data validation.
  • Model calibration.
  • Peer Review through Modelling Committee and Senior Energy Experts.
  • Wide range of data-driven models:

Further Details

Fundamental energy market modelling with transparent methodology, explainable results, and bankable price and scenario projections for European power markets..

Quarterly updates incorporate new market, regulatory, and technology trends, along with updated assumptions, data, and scenarios.

Rigorously validated, transparent data from established sources, reviewed with country and subject-matter experts as the foundation for robust, defensible analysis.

Applicable to investment assessments, commercial due diligence, transaction advisory, regulatory analysis, and strategic market and portfolio decisions.

Personal, senior-led support with direct access to modelling experts, methodological guidance, and project-specific assistance.

Technologie Stack


Our technology stack combines established market models with modern data analytics and practical result delivery:
PLEXOS as a fundamental energy market model to represent merit order, unit dispatch, marginal costs, network constraints, and scenario analysis.
Python-based dashboards and scripts for automated data processing, scenario comparison, sensitivity analysis, and quality assurance.
Excel-based models for transparent validation, structured presentation of results, and seamless integration into investment, financing, and decision-making processes.
By combining these tools, complex market data is transformed into clear, explainable, and reproducible decision foundations –
transparent, traceable, and reliable.