Sangkeun (Matt) M Lee Data Scientist (R&D Associate) Contact 865.574.8858 | lees4@ornl.gov All Publications Correlating Power Outage Spread with Infrastructure Interdependencies During Hurricanes Analysis of Historical Power Outages of the United States and the National Risk Index Impact Study of Thunderstorms on the US Power Grid Using Publicly Available Datasets A dataset of recorded electricity outages by United States county 2014–2022 Active learning of neural network potentials for rare events... Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping Visual Brick model authoring tool for building metadata standardization Performance analysis and comparison of data-driven models for predicting indoor temperature in multi-zone commercial buildings Predicting Power Outage During Extreme Weather with EAGLE-I and NWS Datasets Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts Sensor Incipient Fault Impacts on Building Energy Performance: A Case Study on a Multi-Zone Commercial Building High resolution dataset from a net-zero home that demonstrates zero-carbon living and transportation capacity Analysis of Correlation between Cold Weather Meteorological Variables and Electricity Outages Real-time Multi-granular Analytics Framework for HIT Systems HPC Analytics of Fused Thermal Plants Data to Optimize Operating Envelope Incipient Sensor Fault Impacts on Building Performance Through HVAC Controls: A Pilot Study VizBrick: A GUI-based Interactive Tool for Authoring Semantic Metadata for Building Datasets Impacts of New Sensor Types for Selected Advanced Controls COVID-19 Pandemic Ramifications on Residential Smart Homes Energy Use Load Profiles... Development of an Open-source Alloy selection and Lifetime assessment tool for structural components in CSP Identification of Critical Infrastructure via PageRank Efficient Contingency Analysis in Power Systems via Network Trigger Nodes A machine learning approach to predict thermal expansion of complex oxides Exploiting user activeness for data retention in HPC systems DATA FUSION: A PROJECT UPDATE & PATHWAY FORWARD Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links ORCID Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Discrete Algorithms Group