| Author institution
|
INATECH Freiburg +
|
| Authors
|
Florian Maurer, Nick Harder, Kim K. Miskiw, Johanna Adams, Manish Khanra, Parag Pratil +
|
| Citation doi
|
https://doi.org/10.5281/zenodo.8088760 +
|
| Citation references
|
Zenodo
|
| Contact email
|
contact@assume-project.de +
|
| Contact persons
|
Nick Harder +
|
| Data availability
|
all +
|
| Decisions
|
dispatch +
|
| Deterministic
|
Deterministic +
|
| Example research questions
|
What influence does the availability of di … What influence does the availability of different order types on a market have?
How can deep reinforcement learning for multiple markets be implemented in software?
What is the best way for demand-side management to be implemented in bidding agents?
How can different energy market designs be modelled in energy market simulations? be modelled in energy market simulations?
|
| Full Model Name
|
Agent-based Simulation for Studying and Understanding Market Evolution +
|
| Georegions
|
Depending on input data +
|
| Georesolution
|
NUTS0 - NUTS3, for DE +
|
| Is suited for many scenarios
|
false +
|
| License
|
Affero General Public License v3 (AGPL-3.0) +
|
| Math modeltype
|
Simulation +
, Agent-based +
|
| Math modeltype shortdesc
|
depending on parameterization bidding behavior and market behavior can be defined.
bidding behavior:
* bid marginal cost
* complex bids
market behavior:
* pay as bid
* pay as clear
* redispatch
* nodal pricing +
|
| Math objective
|
Minimize cost, optimize dispatch per agent +
|
| Model class
|
German and European Electricity Market +
, Network-constrained Unit Commitment and Economic Dispatch +
, Agent-based electricity market model +
|
| Model source public
|
true +
|
| Modelling software
|
Python, Pyomo +
|
| Network coverage
|
transmission +
, distribution +
|
| Open future
|
false +
|
| Open source licensed
|
true +
|
| Processing software
|
PostgreSQL +
|
| Report references
|
https://doi.org/10.1007/978-3-031-48652-4_10
https://doi.org/10.1016/j.egyai.2023.100295
|
| Sectors
|
All / Electricity +
|
| Source download
|
https://codeload.github.com/assume-framework/assume/zip/refs/heads/main +
|
| Technologies
|
Renewables +
, Conventional Generation +
, CHP +
|
| Text description
|
ASSUME is an open-source toolbox for agent … ASSUME is an open-source toolbox for agent-based simulations of European electricity markets, with a primary focus on the German market setup and Reinforcement Learning. Developed as an open-source model, its primary objectives are to ensure usability and customizability for a wide range of users and use cases in the energy system modeling community.s in the energy system modeling community.
|
| Timeresolution
|
15 Minute +
|
| Website
|
https://assume-project.de/ +
|
| Creation dateThis property is a special property in this wiki.
|
17 April 2024 11:53:34 +
|
| Categories |
Model +
|
| Last editor isThis property is a special property in this wiki.
|
User:Florian Maurer +
|
| Modification dateThis property is a special property in this wiki.
|
17 April 2024 12:53:24 +
|
| Is a new pageThis property is a special property in this wiki.
|
false +
|
