# PSSE-via-DNNs_dnn4gnetworking

**Repository Path**: wu-yunfa/psse-via-dnns_dnn4gnetworking

## Basic Information

- **Project Name**: PSSE-via-DNNs_dnn4gnetworking
- **Description**: No description available
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-04-06
- **Last Updated**: 2022-04-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PSSE-via-DNNs

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.