search

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).
87 stars 22 forks source link

data #7

Open xhyuuuu opened 1 month ago

xhyuuuu commented 1 month ago

Dear author, Thank you for your tremendous effort in this project. I am really looking forward to using it in my research. What are the meanings of rows and columns in the data of Weather in the File that I am using 1717382948008

georkara commented 4 weeks ago

They are Temperature, Humidity and Solar radiation. Practically you need the third one in order to simulate the PV energy produced. Please check the Energy_Calculations.py in lines 11-16. If you want you can modify that script in order to load real time daily predictions from open/public weather APIs to have weather predictions for specific regions worldwide.