georkara / Chargym-Charging-Station

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

Date Created 2022-02-14 (2 years ago)

Commits 133 (last one about a year ago)

Stargazers 106 (0 this week)

Watchers 4 (0 this week)

Forks 24

License unknown

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RepositoryStats indexes 595,856 repositories, of these georkara/Chargym-Charging-Station is ranked #283,207 (52nd percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #52,565/119,431.

georkara/Chargym-Charging-Station is also tagged with popular topics, for these it's ranked: reinforcement-learning (#734/1337)

Other Information

georkara/Chargym-Charging-Station has Github issues enabled, there are 7 open issues and 1 closed issue.

All Topics

ppo-algo ddpg-algorithm charging-station charging-stations electric-vehicles intelligent-control rule-based-controller openai-gym-environment reinforcement-learning reinforcement-learning-environments

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133 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-12 @ 09:36pm, id: 459162288 / R_kgDOG15CsA