Welcome to the Flexibility Model Recommender!
Supporting Your Research in the Energy Domain
The flexibility model recommender is a tool designed to help you find relevant scientific papers and models
on flexibility in the energy sector. It has been developed by the group Distributed
Artificial Intelligence at OFFIS e.V. in
Oldenburg.
An increasing range of existing flexibility models and their respective published papers have been gathered,
covering various aspects of the energy domain.
Whether you're conducting research or working on a project that involves flexibility models, this
recommender can guide you to the most relevant studies based on the parameters you set, which are
largely based on and developed from the meta-research paper A Review of Models for Energy System
Flexibility Requirements and Potentials Using the New FLEXBLOX Taxonomy, published in 2023.
Please note: The Flexibility Model Recommender is an ongoing development, and we continuously update and refine it to include more models and papers. We welcome feedback to help improve this tool for the research community.
Get Started
To begin, follow the Step-by-Step guide and explore the
recommended models.
The tutorial demonstrates how to use the Flexibility Model
Recommender by walking through a sample
scenario of a Virtual Power Plant (VPP). It covers the steps of exploring parameter options,
selecting mandatory, desired, and irrelevant parameters for the scenario, adjusting
match requirements, and retrieving matching flexibility models. By following these steps, users can
efficiently identify the most suitable flexibility models for their specific needs.
If you need more information or have specific questions, feel free to reach out to us.
The authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Energy. The work was (partially) funded by the German Research Foundation (DFG) under the National Research Data Infrastructure – NFDI4Energy – 501865131.