1 citations · 1 across the 2 of their papers we have counts for
8 papers
AI Data Centers and the Water Use Feedback Loop
Basit A. Akinade, Amobichukwu C. Amanambu, Jonathan M. Frame +1
AI data centres consume water for cooling, water scarcity constrains siting, and AI tools can improve water system efficiency. These dynamics are studied separately yet form a feed…
A Water Efficiency Dataset for African Data Centers
Noah Shumba, Opelo Tshekiso, Pengfei Li +2
Artificial intelligence (AI) computing and data centers consume large amounts of freshwater, both directly for cooling and indirectly for electricity generation. While most attenti…
WaterAdmin: Orchestrating Community Water Distribution Optimization via AI Agents
Jiaqi Wen, Pingbo Tang, Shaolei Ren +1
We study the operation of community water systems, where pumps and valves must be scheduled to reliably meet water demands while minimizing energy consumption. While existing optim…
Small Bottle, Big Pipe: Quantifying and Addressing the Impact of Data Centers on Public Water Systems
Yuelin Han, Pengfei Li, Adam Wierman +1
Water is a critical resource for data centers and an efficient means of cooling. However, meeting the growing water demand of data centers requires substantial peak water withdrawa…
Fairness-Regularized Online Optimization with Switching Costs
Pengfei Li, Yuelin Han, Adam Wierman +1
Fairness and action smoothness are two crucial considerations in many online optimization problems, but they have yet to be addressed simultaneously. In this paper, we study a new…
What AI Speaks for Your Community: Polling AI Agents for Public Opinion on Data Center Projects
Zhifeng Wu, Yuelin Han, Shaolei Ren
The intense computational demands of AI, especially large foundation models, are driving a global boom in data centers. These facilities bring both tangible benefits and potential…