https://github.com/indyfree/ma-thesis

Use RL to balance the electrical power grid with electric vehicle fleets
https://github.com/indyfree/ma-thesis

agent-based-simulation electric-vehicles electricity electricity-demand-forecasting emacs org-mode reinforcement-learning thesis

Last synced: 3 months ago
JSON representation

Use RL to balance the electrical power grid with electric vehicle fleets

• Host: GitHub
• URL: https://github.com/indyfree/ma-thesis
• Owner: indyfree
• Created: 2018-08-25T13:54:49.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-05-03T13:54:31.000Z (almost 6 years ago)
• Last Synced: 2024-01-30T12:58:36.356Z (about 1 year ago)
• Topics: agent-based-simulation, electric-vehicles, electricity, electricity-demand-forecasting, emacs, org-mode, reinforcement-learning, thesis
• Language: TeX
• Homepage:
• Size: 34.9 MB
• Stars: 18
• Watchers: 4
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Reinforcement Learning Portfolio Optimization of Electric Vehicle Virtual Power Plants

Topics:

 - Virtual Power Plants

 - Electric Vehicles

 - Reinforcement Learning

 - Agent-based simulation

Simulation used for experiments:

 - [evsim](https://github.com/indyfree/evsim)

Tools used:

 - [emacs](https://www.gnu.org/software/emacs/)

 - [org-mode](https://orgmode.org/)

 - [org-ref](https://github.com/jkitchin/org-ref/)