PyPSA: Python for Power System Analysis

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

A model generator for energy system modelling and optimisation (LP/MILP).

Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermodynamic modeling of thermal engineering plants such as power plants, heat pumps or refrigeration machines.

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

A multi-scale energy systems modelling framework

A linear optimisation model for distributed energy systems

Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution. Accelerates model or experiment runs.

Tools for building power systems optimization problems

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

A co-simulation testbed for carbon-aware computing systems 🍃

Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"

The ix modeling platform for integrated and cross-cutting scenario analysis

Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP

OSeMOSYS Tools for Energy

ACOPF with Pyomo/Pypower/Ipopt

A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.

Explore efficient energy management in renewable communities through the implementation of Model Predictive Control (MPC) and Reinforcement Learning (RL). This GitHub repository houses the codebase for optimizing renewable energy systems, promoting sustainable practices and smart energy utilization. MSc Mechanical Eng Thesis // Pier Luca Anania

This repository contains code related to solving and visualizing the Bi-Directional Electric Vehicle Routing Problem (B-EVRP) as well as some exemplary data and results.

OSeMOSYS_PuLP: A Stochastic Modelling Framework for Long-Term Energy Systems Modeling