Publications & Analyses
Our approaches are not mere theory. They are grounded in rigorous academic research at the intersection of energy markets, regulation, and data modeling.
Below, you will find our current analyses on energy topics as well as our research in the field of quantitative modeling.
Current Energy Analyses
MBA Thesis (Work in Progress)
Topic: Impact of Grid Charge Regulation on Utility-Scale Front-of-the-Meter BESS Economics: A Quantitative Analysis of Germany’s 2029 Transition with Focus on Arbitrage
Description: This master’s thesis addresses an important gap: It provides a quantitative analysis of how the most likely regulatory scenarios post-2029 (AgNes process) will impact the profitability (NPV/IRR) of front-of-the-meter grid storage systems. An LP optimization model calculates the regulation-compliant maximum achievable arbitrage revenue, whose robustness is subsequently evaluated via Monte Carlo simulation.
Status: Work in Progress (TU Berlin, MBA Energy Management). (Full PDF available from Q1 2026)
BESS Regulation Europe
Topic: What role can battery storage systems play in the operation of electricity grids and electricity trading and give examples from existing regulation (EU level)?
Description: This paper examines the central role of battery energy storage systems (BESS) in the EU energy market. It analyzes how EU regulations (e.g., Clean Energy Package, RED III) legally anchor BESS market participation, while also identifying remaining implementation gaps and market barriers.
Energy Market Law (EU)
Topic: Security of Supply in the European Energy Market in the Context of the Green Deal
Description: Critical analysis of EU regulatory frameworks (Third Party Access, sector coupling) regarding security of supply. The paper reveals gaps arising from data-driven markets and the role of “Energy Data Platform Operators (EDPOs).”
LCOE Calculator
Topic: LCOE Calculator (Levelized Cost of Energy)
Description: An adapted, simplified Excel tool for calculating the Levelized Cost of Energy (LCOE) for various energy plants (including wind and CCGT). The tool serves as a simplified template; professional analyses require an expansion of assumptions.
Source/Link: Adapted from: UK Department for Energy Security and Net Zero. Electricity Generation Costs 2023: Example LCOE Calculator. Available at: https://www.gov.uk/government/publications/electricity-generation-costs-2023 (Accessed on November 11, 2025).
Further Research
Whitepaper: Meta-Residuals in Dynamic Factor Models
This publication presents an extension of factor extraction in dynamic factor models (DFM), leading to improved forecasts and a deeper understanding of impulse transmission within the system. Among other findings, the methodology demonstrates that the “Price Puzzle” is not an actual problem.
Video: Industry 4.0 - Dynamic Factor Models in Action
This video demonstrates an Industry 4.0 scenario where machine sensor data is forecasted using Dynamic Factor Models and used for real-time process monitoring.