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
June 22, 2022
May 14, 2022
May 8, 2022
April 16, 2022
February 21, 2022
February 14, 2022
Artificial Intelligence-Based Smart Grid Vulnerabilities and Potential Solutions for Fake-Normal Attacks: A Short Review
J. D. Ndibwile
A Data-Centric Approach to Generate Invariants for a Smart Grid Using Machine Learning
Danish Hudani, Muhammad Haseeb, Muhammad Taufiq, Muhammad Azmi Umer, Nandha Kumar Kandasamy
January 8, 2022
December 25, 2021
December 8, 2021
November 28, 2021
November 10, 2021