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).

A multi-scale energy systems modelling framework

Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.

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

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 applications and systems 🍃

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

OSeMOSYS Tools for Energy

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

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

python Clustering of Lines And RAsters

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

Python library to access Studer devices via an XCom-232i interface

Energy Planning Application