MAPDN
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Future-Power-Networks
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
In your article ”During training, we randomly sample the initial state for an episode and each episode lasts for 240 time steps (i.e. a half day). Every experiment is run...
Dear authors, thanks for the wonderful paper and repo. I have a question about **how to generate the 322-bus network with Simbench**. I read the Simbench paper and found the...
i am trying to replicate the results you have done in this code. i was struggling with trainng set first. i somehow managed to run the train.py file. after training,...
Dear author, I would like to consult the memory occupation of your environment, I have a memory occupation of more than 100G in the case of 20 parallel processes of...
Sorry to disturb you again sir, after training the model when i try to test the model using the following command in repo after removing the 'trial/model_save' 'python test.py --save-path...
Dear authors: Thank you very much for building this code base. I have one question about the model.p file. I want to learn more about how this environment works. However,...
Is it possible to share the trained models used in the paper?
Hi author, I have run the train.py and test.py from MAPDN, follwing the readme.md's steps. But I do not know the actual meanings of the inputs and outputs, could you...
Dear author: I have one question about the agent's action_dim. I want to change the agent's action_dim, but there are some problems. Can agent's action_dim be multidimensional? What do I...
Dear author: Hello! I am a graduate student in a Chinese university. I am working on a project on multi-agent reinforcement learning. I hope to connect my algorithm to the...
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This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).