Smart Grid
Smart grids aim to modernize electricity infrastructure by integrating advanced technologies for efficient energy generation, distribution, and consumption. Current research heavily focuses on improving forecasting accuracy using machine learning models like transformers, LSTMs, and support vector machines, often within a federated learning framework to address data privacy concerns. These advancements are crucial for enhancing grid stability, integrating renewable energy sources, and enabling efficient demand response strategies, ultimately impacting both energy security and sustainability.
Papers
A Cyber-Physical Architecture for Microgrids based on Deep learning and LORA Technology
Mojtaba Mohammadi, Abdollah KavousiFard, Mortza Dabbaghjamanesh, Mostafa Shaaban, Hatem. H. Zeineldin, Ehab Fahmy El-Saadany
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids
Mojtaba Mohammadi, Arshia Aflaki, Abdollah Kavousifard, Mohsen Gitizadeh