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| | |computation_time_comments=one year, one country | | |computation_time_comments=one year, one country |
| | |citation_references=Nitsch, Schimeczek, Wehrle (2021) Back-testing the agent-based model AMIRIS for the Austrian day-ahead electricity market, Working Paper. | | |citation_references=Nitsch, Schimeczek, Wehrle (2021) Back-testing the agent-based model AMIRIS for the Austrian day-ahead electricity market, Working Paper. |
| − | |citation_doi=https://zenodo.org/record/5726738 | + | |citation_doi=https://doi.org/10.5281/zenodo.5726738 |
| | |report_references=https://doi.org/10.1016/j.apenergy.2021.117267; https://doi.org/10.3390/en13153920; https://doi.org/10.3390/en13205350; https://doi.org/10.1155/2017%2F7494313 | | |report_references=https://doi.org/10.1016/j.apenergy.2021.117267; https://doi.org/10.3390/en13153920; https://doi.org/10.3390/en13205350; https://doi.org/10.1155/2017%2F7494313 |
| | |Model input file format=No | | |Model input file format=No |
Revision as of 12:53, 4 February 2022
|
Agent-based Market model for the Investigation of Renewable and Integrated energy Systems
by German Aerospace Center
Authors:
Contact:
Christoph Schimeczek
|
Agent-based electricty market model for analysing questions on future energy markets, their market design, and energy-related policy instruments
Based on Java. Using Python for data processing.
Website / Documentation
Download
|
 Open Source
Apache License 2.0 (Apache-2.0)
Directly downloadable
Input data shipped
|
| Model Scope |
Model type and solution approach |
| Model class
|
Agent-based electricity market model
|
| Sectors
|
electricity
|
| Technologies
|
Renewables, Conventional Generation
|
| Decisions
|
dispatch
|
| Regions
|
Germany, Austria
|
| Geographic Resolution
|
National
|
| Time resolution
|
Hour
|
| Network coverage
|
|
|
| Model type
|
Simulation, Agent-based
|
|
|
algorithms for market clearing and agent-specific bidding strategies
|
| Variables
|
|
| Computation time
|
1 minutes (one year, one country)
|
| Objective
|
|
| Uncertainty modeling
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stochastic, perfect foresight, deterministic
|
| Suited for many scenarios / monte-carlo
|
Yes
|
|
References
Scientific references
Nitsch, Schimeczek, Wehrle (2021) Back-testing the agent-based model AMIRIS for the Austrian day-ahead electricity market, Working Paper.
https://dx.doi.org/https://doi.org/10.5281/zenodo.5726738
Reports produced using the model
https://doi.org/10.1016/j.apenergy.2021.117267; https://doi.org/10.3390/en13153920; https://doi.org/10.3390/en13205350; https://doi.org/10.1155/2017%2F7494313
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