Deep-Grid

Obtain data-driven deep learning-based reduced order model for large power system data

This code is a part of the paper "Deep learning assisted surrigate modeling of large-scale power grids" by Hamid A., Rafiq D., Nahvi S. and M.A.Bazaz, Sustainable Energy, Grids and Networks 2023

This code simulates the AE-LSTM framework for two cases: The IEEE118 Bus system and the European high-voltage system To try the code follow these steps:

• clone the entire directory
• create a new virtual environment (via conda) and install all the python packages from the requirement.txt file
• Then, run the Main_SM_IEEE118.ipynb file for the IEEE 118 model and Main_AELSTM_SM_IEEE1354.ipynb for the European model
• For European model, download the data and weights file from [https://drive.google.com/drive/folders/12UqhisZXJPOcqxvCYem2luuUtfoTKkyE?usp=share_link] and place the files in the same directory

For any technical issues please contact on danishrafiq32@gmail.com