An analytical framework for the Greek Power&Gas System Operation ("SO") and Market Exchange ("Ex") Data.
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Updated
Oct 12, 2025 - Python
An analytical framework for the Greek Power&Gas System Operation ("SO") and Market Exchange ("Ex") Data.
A comprehensive Python library for downloading Midcontinent Independent System Operator (MISO) public reports into pandas dataframes.
Algorithmic trading strategies for pairs and basket trading in cross-commodity markets
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.
Energex is a comprehensive energy derivatives analytics platform that provides data collection, analysis tools, and interactive visualizations for futures trading. Built with Python, it combines efficient data storage using DuckDB with sophisticated analysis capabilities to help traders and analysts make informed decisions.
General Integrated Modeling environment for the Supply of Electricity and Low-temperature heat
Unofficial ESIOS API Python library. Up to date and fully equipped.
📖 An open wiki for power systems engineers, researchers, and students
Projects exploring energy-market forecasting, trading analytics, and quantitative modelling using Python
This repository implements multiple deep learning models to forecast day-ahead electricity prices in the Germany-Luxembourg bidding zone, leveraging data from 15 European bidding zones.
Time-Series dataset combining multiple sources to explain the broader Greek energy market
📘 Home Assignment for the Data Scientist Position (Curves) at Argus Media Group
Energy Markets Optimization
Scenario-based analysis of global oil market supply–demand balances, OPEC+ policy sensitivity and geopolitical risk drivers, using OPEC, EIA and OEUK data.
This repo contains all codes used in implementing my publicly available projects
Project on cross-hedging INR-denominated Urals crude using Brent and WTI futures
Quantitative analysis of French Renewable Assets (Wind/Solar) & Hedging Strategies (Merchant vs PPA).
Questo progetto analizza la catena dei costi dell’elettricità, mettendo in relazione produzione, consumo e prezzi di vendita nei diversi paesi.
End-to-end analysis of Germany electricity prices using ENTSO-E data, including time series analysis, spike detection, and machine learning prediction.
⚡ Predict natural gas consumption with advanced machine learning using multivariate time series analysis and ensemble techniques for high accuracy.
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