PyPSA: Python for Power System Analysis

PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System

atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

Analysis & visualization of energy & climate scenarios

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

A highly adaptable modelling framework for multi-energy systems

An energy system optimization model that is flexible, computationally efficient, and academically robust.

PowerBiMIP is an open-source, efficient bilevel mixed-integer programming (BiMIP) solver, with a special focus on applications in power and energy systems.

IRENA FlexTool is an energy and power systems model for understanding the role of variable power generation in future energy systems.

Parser of PSS/E-format Power Flow Raw Data Files (.raw)

Materials for Open Course on Energy Systems Analysis

A package to work with IAMC-style variable templates

Python library for modeling, simulating, and analyzing district heating networks

Vector based Energy Optimization Framework

A data warehouse for high-powered scenario analysis in the domain of integrated assessment of climate change and energy systems modeling

District heating system unit design and dispatch optimization dashboard using Mixed Integer Linear Programming (MILP).

Tutorial notebook of the pyam package

A basic interactive dashboard with streamlit, plotly and powerplantmatching.

Typescript components to integrate network diagrams from powsybl-diagram and network maps in a javascript project

This library provides a Distributed Energy Resources' Hosting Capacity estimation of distribution systems considering that the Distribution Company can partially dispatch other DERs installed in the system.

Multi-objective evolutionary algorithms for energy systems optimization.

Make energy model workflows easy as 🥧!

Deep Policy Lab (Deep Energy and Climate Policy Lab): Data-driven, Evidence-based, Energy and Climate, Policy Research

Thermodynamic modelling of a gas turbine Brayton cycle using MATLAB to compare constant and temperature-dependent specific heat effects on efficiency and performance.

📜 Unfolding understandable and reproducible energy systems research!

Applying linear and non-linear classification to predict unit commitment decisions in day-ahead generation scheduling.

A decision support tool for greenhouse design. Created as a part of the 4th year capstone design course at the University of Toronto Engineering Science Energy Systems specialization.

VNAE: A geometric approach to global stability in massive multi-agent systems with asymmetric dissipation, validated at scale.

Multi-stage high-voltage step-up transformer project (220V → ~70kV) to study arcing, insulation breakdown, and dielectric behavior. Built for experimental learning with safety precautions. (2023)

GeoHeat-GB: A geospatial power systems planning model for heat electrification in Britain