4 papers
Short-Term Load Forecasting for AI-Data Center
Mariam Mughees, Yuzhuo Li, Yize Chen +1
Recent research shows large-scale AI-centric data centers could experience rapid fluctuations in power demand due to varying computation loads, such as sudden spikes from inference…
AI Load Dynamics--A Power Electronics Perspective
Yuzhuo Li, Yunwei Li
As AI-driven computing infrastructures rapidly scale, discussions around data center design often emphasize energy consumption, water and electricity usage, workload scheduling, an…
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…
From Black Box to Clarity: AI-Powered Smart Grid Optimization with Kolmogorov-Arnold Networks
Xiaoting Wang, Yuzhuo Li, Yunwei Li +1
This work is the first to adopt Kolmogorov-Arnold Networks (KAN), a recent breakthrough in artificial intelligence, for smart grid optimizations. To fully leverage KAN's interpreta…