2 papers
cs.CY2026
From Caveman to Expert Analyst: Energy Consumption of Variable LLM Tasks
Diego Manya, Ethan I. Thorpe, Ji Zhang +4
The energy demand growth and environmental impacts of artificial intelligence (AI) have generated substantial interest in supplying sufficient low-cost electricity for AI-driven da…
cs.SE2026
The Energy Footprint of LLM-Based Environmental Analysis: LLMs and Domain Products
Alicia Bao, Jiamian He, Angel Hsu +3
As large language models (LLMs) are increasingly used in domain-specific applications, including climate change and environmental research, understanding their energy footprint has…