energy-trade

Solidity contracts to demonstrate energy trade (PwC project)

An Instance generator for NASPs (Nash Games among Stackelberg Players)

UvA MSc AI thesis repository, supervised by Dr. Ana Lucic, exploring AI-weather forecasting tailored to renewable energy locations. Investigating methods to adapt AI weather models to the spatial distribution of wind and solar assets for energy generation estimation applications.

Code behind the Networked Sustainable Energy Transitions Exploratorium

Secured, automated ETRM lakehouse: European power prices in, ML trade surveillance and a live dashboard out.

Backtest of a cross-border day-ahead spread mean-reversion strategy on European power prices, with honest out-of-sample and tradability analysis.

Systematic quantitative trading strategy exploiting structural mean-reversion in the 3:2:1 crude oil crack spread. Featuring walk-forward optimization, and statistical testing | Includes ADF/KPSS stationarity tests, Hurst exponent estimation, Ornstein-Uhlenbeck half-life modeling, and event-driven backtesting | Streamlit Dashboard

FluxFlow is the software layer for tokenized wireless energy transfer, enabling real-time monitoring, token management, and energy transaction tracking using dedicated FluxFlow hardware systems.

An end-to-end Virtual Power Plant (VPP) quantitative pipeline utilizing asynchronous data engineering, Random Forest forecasting, and Mixed-Integer Linear Programming (MILP) to optimize battery dispatch P&L in European energy markets.

Solidity contracts to demonstrate energy trade (PwC project)

Frontend-focused SIH prototype for peer-to-peer rooftop solar energy trading using AI and blockchain concepts.

Live day-ahead forecast of French power prices. Models how temperature drives French demand (R² 0.96), then forecasts hourly prices using only data available before the 12:00 auction gate. Runs automatically every weekday and is scored against actual prices. Beats the previous-day benchmark by about 20% out of sample.