Update README.md

README.md

@@ -1,3 +1,24 @@
----
-license: mit
----
+---
+license: mit
+---
+
+This dataset is for simulating the multi-agent reinforcement learning (MARL) environment for distributed active voltage control problem, a key research area to guarantee the safety of the electric power grid. The GitHub repository for the environment is [MAPDN](https://github.com/Future-Power-Networks/MAPDN). If you would like to run the MARL environment, you require to first download the dataset held in this dataset storage.
+
+The `voltage_control_data.zip` include the PV (solar panel) generator data and user load data for MARL simulation. The `traditional_control_data.zip` with the same data is for replicating the droop control and OPF methods in MATLAB.
+
+If you either use the dataset or run the MARL environment, please cite the following paper published in NeurIPS 2021:
+```
+@inproceedings{NEURIPS2021_1a672771,
+ author = {Wang, Jianhong and Xu, Wangkun and Gu, Yunjie and Song, Wenbin and Green, Tim C},
+ booktitle = {Advances in Neural Information Processing Systems},
+ editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
+ pages = {3271--3284},
+ publisher = {Curran Associates, Inc.},
+ title = {Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks},
+ url = {https://proceedings.neurips.cc/paper/2021/file/1a6727711b84fd1efbb87fc565199d13-Paper.pdf},
+ volume = {34},
+ year = {2021}
+}
+```
+
+If you have any question, please feel free to contact `jianhong.wang@bristol.ac.uk`.