I’m an energy engineer / data scientist who likes to build models of energy systems in Python. My work focuses on using computation to solve the control and climate problem.

I’m currently employed at Tempus Energy, where we are using data to unlock flexible electricity demand.

Open source projects

energy_py - blog post - GitHub

two day reinforcement learning course - course notes

time series forecasting - GitHub

mixed integer linear programming models of combined heat and power plants - GitHub


April 3 2017 - Berlin Machine Learning Group - A Glance at Q-Learning - meetup page - youtube

June 21 2017 - Data Science Festival - A Glance at Q-Learning - meetup page - youtube

September 3 2018 - Berlin Machine Learning Group - energy-py - meetup page - slides - GitHub repo

Top posts

Machine learning

Machine learning in energy - part one - part two

DQN debugging, hyperparameter tuning and Cartpole solving


A hackers guide to AEMO data

Elexon API Web Scraping using Python


CHP Cheat Sheet - Gas Engines & Gas Turbines

The Four Inconvenient Truths of the Clean Energy Transition

Average vs. Marginal Carbon Emissions

Four Negative Effects of High Return Temperatures