A Keras implementation of our paper: L. Zhang, G. Wang, and G. B. Giannakis, “Real-time power system state estimation and forecasting via deep neural networks,” arXiv:1811.06146, Nov. 2018. [Online] available: https://arxiv.org/abs/1811.06146
If you find the code useful, please cite our paper. The data for 118- and 57-bus systems can be downloaded from https://drive.google.com/drive/folders/1pAquFM2PPiWtleehXLLCxjsOnpvtB4QU?usp=sharing.
To train the model and obtain estimation performance, please put the aforementioned data in the root file, and run simple_test.py.
To get plots, please run the get_plots.py. Please feel free to play with your own data.