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wsyCUHK / Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations

Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations
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env() function issue #9

Open mfl22 opened 5 months ago

mfl22 commented 5 months ago

In the following lines: https://github.com/wsyCUHK/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations/blob/cbd4c8b3be01f779bb2c7e9fad9cc2c822b49442/code/HSA.py#L221-L223 https://github.com/wsyCUHK/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations/blob/cbd4c8b3be01f779bb2c7e9fad9cc2c822b49442/code/HSA.py#L72 https://github.com/wsyCUHK/Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations/blob/cbd4c8b3be01f779bb2c7e9fad9cc2c822b49442/code/HSA.py#L28 if I am not mistaken, only the first MAX_EP_STEP data points are used, was that intended ?

STW1994 commented 3 weeks ago

Recently, I read the code of this project line by line, and I also found this problem. There are more than 20,000 vehicle arrival data, but each worker in the code uses the first 200 vehicle arrival data.