PyPSA: Python for Power System Analysis
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Updated
Mar 11, 2026 - Python
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PyPSA: Python for Power System Analysis
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.
The Integrated MARKAL-EFOM System (TIMES) - a bottom-up optimization model for energy-environment systems
Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.
PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
🔋 Represent energy systems as Python data classes for improved modularity and readability
Open-TYNDP: Interfacing Open Energy System Planning with ENTSO-E Models and Contributing to TYNDP
A model that optimises investment and operation, and incorporates flexibility domestic demand flexibility to model scenarios for Great Britain's future energy system.
PyPSA-China: An Open Optimisation model of the Chinese Energy System
IESopt (Integrated Energy System Optimization) is a modeling and optimization framework for integrated energy systems.
PyPSATopo is a tool that allows generating the topographical representation of any arbitrary PyPSA-based network
TIMES-Ireland Model (TIM)
Future Technology Transformation models: a family of evolutionary economics models to investigate energy policy
TIMES Demo Model
Site level energy system optimization model toolbox for investigations of EV fleet integration and management strategies
Full documentation of ETSAP-TIMES model
An open-source energy system model for Brandenburg/Berlin.
TIMES-GEO Model
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