energy-markets

HA Energy data collector for ortsnetz-auslastung.de

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.

Audit battery-arbitrage assumptions with finite-state benchmarks, chronological protocols & reproducible model evidence.

An analytical framework for the Greek Power&Gas System Operation ("SO") and Market Exchange ("Ex") Data.

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.

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.

Decision engine for flexible electricity demand: finds cheap power windows, validates whether they can be trusted, and audits decisions through replay.

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.

📖 An open wiki for power systems engineers, researchers, and students

Unofficial ESIOS API Python library. Up to date and fully equipped.

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.

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.

Case study results for the paper "Moving from linear to conic markets for electricity"

Deep RL agent for grid-battery trading on real power markets, benchmarked against perfect-foresight and rolling-intrinsic strategies. Built on Fraunhofer SCAI's EAO framework.

Scenario-based analysis of global oil market supply–demand balances, OPEC+ policy sensitivity and geopolitical risk drivers, using OPEC, EIA and OEUK data.

WattDocket— open-source Data center Energy Environment explanation - Meta AI hackathon submission

Quantitative Analysis of Strait of Hormuz Disruption on Global Capital Markets & Commodity Trades

AGL Energy — independent third-party profile of a public API surface, by API Evangelist. AGL Energy Limited (ASX:AGL) is Australia's oldest listed company — founded in Sydney in 1837 as the Australian Gas Light Company — and one of the country's largest integrated energy businesses, retailing electricity, gas, broadband and mobile to roughly four m

MILP optimization of a utility-scale battery storage system across German day-ahead, intraday and balancing markets (FCR/aFRR) using Python and Pyomo, including degradation and lifetime simulation. Bachelor's thesis, HTW Berlin (grade 1.0).