Skip to content

Latest commit

 

History

History
105 lines (66 loc) · 2.69 KB

README.md

File metadata and controls

105 lines (66 loc) · 2.69 KB

ASSUME Framework Examples

This repository contains example implementations and usage patterns for the ASSUME (Agent-Based Electricity Markets Simulation Toolbox).

Overview

The ASSUME framework provides automated security measurement and evaluation capabilities for software systems. These examples demonstrate how to integrate and utilize ASSUME in various scenarios.

Getting Started

  1. Clone this repository

git clone https://github.com/assume-framework/assume-examples.git

  1. Install assume framework

In your selected python environment (virtualenv or conda) run:

pip install assume-framework

  1. Run the examples

If you want to have a database running and the grafana available run: docker compose up -d (make sure you have docker installed).

Then run the tiny example:

assume -i inputs -s example_01a -c tiny -db "postgresql+psycopg2://assume:assume@localhost:5432/assume"

or more general:

assume -i inputs -s $scenario_name -c $case_study -db $database_url

Examples

The available examples are as follows:

example_01 contains a small sample scenario

example_01a

  • base: simple small example
  • dam: small_dam
  • dam_with_complex_clearing: small_with_opt_clearing

example_01b

  • base: small_with_vre

example_01c

  • eom_only: small_with_vre_and_storage
  • dam_with_complex_opt_clearing: small_with_BB_and_LB
  • dam_with_complex_opt_clearing: small_with_vre_and_storage_and_complex_clearing
  • eom_and_crm: small_with_crm

example_01d

  • base: small_with_redispatch
  • nodal_case: small_with_nodal_clearing
  • zonal_case: small_with_zonal_clearing

example_01f

  • eom_case: market_study_eom
  • ltm_case: market_study_eom_and_ltm

example_02 contains learning examples

example_02a

  • base: small_learning_1
  • base_lstm: small_learning_1_lstm

example_02b

  • base: small_learning_2
  • base_lstm: small_learning_2_lstm

example_02c

  • base: small_learning_3

example_02d

  • dam: learning_with_complex_bids

example_03

  • base_case_2019: large_2019_eom
  • eom_crm_case_2019: large_2019_eom_crm
  • dam_case_2019: large_2019_day_ahead
  • base_case_2019_with_DSM: large_2019_with_DSM

examples_03 contains a large 2019 examples of germany

example_03a

  • base_case_2019: large_2019_rl

example_03b

  • base_case_2021: large_2021_rl

Contributing

Contributions are welcome! If you want to add your example, make sure it works and create a PR for it.

License

This project contains examples which are licensed as CC-BY-4.0 if not stated otherwise in the respextive license file.