A real-data market intelligence web app for the Great Britain power market, in the style of a commodity-analytics terminal. Single-page, static, no build step, driven entirely by public data fetched through a re-runnable ETL.
An analytical framework for the Greek Power&Gas System Operation ("SO") and Market Exchange ("Ex") Data.
Algorithmic trading strategies for pairs and basket trading in cross-commodity markets
A comprehensive Python library for downloading Midcontinent Independent System Operator (MISO) public reports into pandas dataframes.
Predicted Spanish day-ahead energy demand and price with 97.5% accuracy using a range of ML and statistical time series forecasting models including XGBoost, Transformers, TFTs and SARIMA.
Self-hosted, bitemporal (point-in-time-correct) data platform for power markets: EIA-930 (all US balancing authorities) + ERCOT real-time/day-ahead prices and load into a versioned ArcticDB store, Dagster-orchestrated, served point-in-time via a read API.
đź“– An open wiki for power systems engineers, researchers, and students
Unofficial ESIOS API Python library. Up to date and fully equipped.
Decision engine for flexible electricity demand: finds cheap power windows, validates whether they can be trusted, and audits decisions through replay.
Audit-ready finite-state benchmark for battery arbitrage under synthetic and historical wholesale prices.
Pricing energy options (focus on German power) with MC and jump-diffusion mean-reversion model, including stochastic volatility, seasonality and regime filtering. Model parameters are calibrated on historical ENTSO-e data.
Scenario-based analysis of global oil market supply–demand balances, OPEC+ policy sensitivity and geopolitical risk drivers, using OPEC, EIA and OEUK data.
Quantitative Analysis of Strait of Hormuz Disruption on Global Capital Markets & Commodity Trades
Regime-conditional volatility forecasting framework using HAR-RV as a baseline and XGBoost on either residual vol or directly on log(RV), implemented for Germany and France electricity markets. Metric: Spearman ranking. Model validation and market-neutral cross-country trading strategy.
Projects exploring energy-market forecasting, trading analytics, and quantitative modelling using Python
Energy market optimisation portfolio — PCR/Euphemia market coupling, FBMC, BESS storage, unit commitment, backtesting. Hexagonal architecture believer.
AI x OSS reference problems for software-defined energy markets
Case study results for the paper "Moving from linear to conic markets for electricity"
A very simple framework to model energy costs in the NEM (Australia)
End-to-end lithium market intelligence dashboard modeling supply, demand, cost curves, and price formation using Python and Streamlit
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