MSc Data Science thesis

Smart Energy Arbitrage

Source-backed DAM/IDM hourly recommendation preview for a human BESS operator.

Python
Dagster
FastAPI
Postgres
Nuxt
MLflow
BESS
DFL

About the project

A defended energy-arbitrage system with Dagster/FastAPI/Postgres, a Nuxt operator dashboard, deterministic LP/V2+ evidence, and bounded DT/HF shadow comparisons. The boundary is explicit: preview/read model only, no bids and no autonomous dispatch.

Evidence & results

Public Ukraine BESS Arbitrage Index turns thesis work into a source-backed analytics product.
Operator preview separates official DAM/IDM rows, forecast-store rows, readiness, strategy evidence, and no-execution controls.
Research evidence includes LP/oracle, V2+, DT safe-switch, and HF value-aligned shadow lanes with documented claim boundaries.