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
Multi-Agent Based Simulation for Decentralized Electric Vehicle Charging Strategies and their Impacts
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems
Peng Zhou, Yongdong Liu, Lixun Ma, Weiye Zhang, Haohan Tan, Zhenguang Liu, Butian Huang