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eess.SY2024
Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights
Di Shi, Qiang Zhang, Mingguo Hong +4
Deep reinforcement learning (DRL) holds significant promise for managing voltage control challenges in simulated power grid environments. However, its real-world application in pow…
cs.AR2024★ 5 cited
The Unseen AI Disruptions for Power Grids: LLM-Induced Transients
Yuzhuo Li, Mariam Mughees, Yize Chen +1
Recent breakthroughs of large language models (LLMs) have exhibited superior capability across major industries and stimulated multi-hundred-billion-dollar investment in AI-centric…
cs.LG2024
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
Yuqi Jiang, Yan Li, Yize Chen
Rapid progress in machine learning and deep learning has enabled a wide range of applications in the electricity load forecasting of power systems, for instance, univariate and mul…