5 papers
Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers
Subir Majumder, Minlan Yu, Le Xie
Artificial intelligence (AI) is driving rapid growth in electricity demand, yet the grid-facing power dynamics of AI data centers remain poorly understood. Here we show that, in sh…
An Econometric Analysis of Large Flexible Cryptocurrency-mining Consumers in Electricity Markets
Subir Majumder, Ignacio Aravena, Le Xie
In recent years, power grids have seen a surge in large cryptocurrency mining firms, with individual consumption levels reaching 700MW. This study examines the behavior of these fi…
Predicting DC-Link Capacitor Current Ripple in AC-DC Rectifier Circuits Using Fine-Tuned Large Language Models
Mohamed Zeid, Subir Majumder, Hasan Ibrahim +3
Foundational Large Language Models (LLMs) such as GPT-3.5-turbo allow users to refine the model based on newer information, known as ``fine-tuning''. This paper leverages this abil…
The Role of Electric Grid Research in Addressing Climate Change
Le Xie, Subir Majumder, Tong Huang +4
Addressing the urgency of climate change necessitates a coordinated and inclusive effort from all relevant stakeholders. Critical to this effort is the modeling, analysis, control,…
Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector
Subir Majumder, Lin Dong, Fatemeh Doudi +7
Large Language Models (LLMs) as chatbots have drawn remarkable attention thanks to their versatile capability in natural language processing as well as in a wide range of tasks. Wh…