assume
Energy market simulator
An agent-based simulation toolbox for modeling energy markets and their dynamics
ASSUME - Agent-based Simulation for Studying and Understanding Market Evolution
25 stars
2 watching
10 forks
Language: Python
last commit: about 1 month ago
Linked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 dos-group/leaf | Simulates energy consumption in computing environments | 107 |
 breakthrough-energy/powersimdata | A Python software framework for analyzing and simulating energy systems. | 52 |
 energyinnovation/eps-us | A software tool designed to simulate and analyze energy policy scenarios in the United States | 22 |
 oemof/oemof | A Python toolbox for designing and optimizing energy systems | 105 |
| dos-group/vessim | A co-simulation framework for modeling complex energy systems and their interactions with computing systems. | 51 |
| oemof/oemof-solph | Generates models for energy system analysis and optimization. | 304 |
 kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
 usepa/epa_alpha_model | A model to simulate and evaluate emissions from vehicles | 8 |
 nasa/trick | A simulation environment that provides common capabilities and utilities to build simulations automatically. | 51 |
 rebase-energy/enflow | Framework for modeling sequential decision problems in energy systems | 36 |
 open-ideas/ideas | A Modelica-based framework for simulating complex energy systems in buildings and grids. | 133 |
 fzj-iek3-vsa/hisim | A software package simulating household infrastructure and building systems for energy efficiency analysis | 30 |
 ckrowland/markets | A simulation of market dynamics between consumers and producers in a visually engaging environment. | 38 |
 ie3-institute/powersystemdatamodel | Provides an extensive data model and tools for simulating energy systems with high granularity. | 20 |
 pypsa/247-cfe | An effort to study and model the impacts of 24/7 Carbon-Free Energy procurement in Europe using Python and PyPSA | 27 |