3 papers
cs.DC2026
COAST: Congestion-Aware Start-Time Recommendations for Carbon-Aware HPC Jobs
Weibin Feng, Abhishek Dasgupta, Zeynep Duygu Tekler +3
High-performance computing (HPC) workloads consume substantial amounts of electricity, and their carbon emissions vary over time with the carbon intensity of grid electricity. Howe…
cs.LG2023
Enhancing personalised thermal comfort models with Active Learning for improved HVAC controls
Zeynep Duygu Tekler, Yue Lei, Xilei Dai +1
Developing personalised thermal comfort models to inform occupant-centric controls (OCC) in buildings requires collecting large amounts of real-time occupant preference data. This…
cs.LG2021
An End-to-end Point of Interest (POI) Conflation Framework
Raymond Low, Zeynep D. Tekler, Lynette Cheah
Point of interest (POI) data serves as a valuable source of semantic information for places of interest and has many geospatial applications in real estate, transportation, and urb…