3 papers
eess.SY2026
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…
eess.SY2024
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…
eess.SY2024
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…