redispatch

A Rust workspace for end-to-end German energy market communication (BDEW MaKo / EDI@Energy) — from raw EDIFACT bytes to production microservices.

Time-Series-Prediction for joint capstone project at Data Science Bootcamp neuefische GmbH.

Real-time grid digital twin for Germany's energy transition. Features <50ms physics loop, VDE-AR-N 4110 compliance validation, Monte Carlo robustness testing (n=50 AR(1) uncertainty), and production-ready CI/CD architecture.

A high-performance, physics-aware streaming AC power flow engine for real-time distribution grid control. Features a vectorized Forward-Backward Sweep (FBS) kernel, 0.03ms determinism, and live Redispatch 3.0 telemetry integration.

Cloud-native grid compliance automation using AWS Lambda and Pandapower. Validates VDE-AR-N 4110 voltage stability through serverless AC power flow simulations for Redispatch 3.0 operations.

A Python tool for validating and parsing BDEW Redispatch 3.0 XML data for German grid congestion management. Features strict XSD schema validation and Pandas integration.

Redispatch volumes forecasting using ARIMAX models and LSTM

Enerthon 2021 submission

Das Projekt strebt die Entwicklung eines marginalen zonalen CO2-Emissionsmodells für das deutsche Stromnetz an. Durch die genaue Erfassung und Analyse lokaler Emissionsdaten soll eine zeitliche bzw. räumliche Verschiebung von Lasten ermöglicht werden, um die Abregelung erneuerbarer Erzeugungseinheiten im Redispatch zu minimieren.

Dashboard for German grid bottlenecks: where and when the Schleswig-Holstein wind coast needs redispatch, hour by hour.