High-Performance Computing

Human Behavior featured image

Human Behavior

Why should we study human behavior? Picture this. It’s an average day. You wake up, brush your teeth, make coffee, and get ready for work. If you have a kid, you get them ready to …

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Energy featured image

Energy

What do I like about energy? Energy is such a broad topic! After spending many years on the energy end use side of things (traffic and building energy), working at NREL has …

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Buildings featured image

Buildings

Why should we care about buildings? Buildings account for a significant percentage of total energy use world-wide (about 24% in 2023). Building energy modeling provides an …

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Human Dimensions of Energy Systems

Leadership Co-led a team of 5 researchers for 1.5 years of the project. Mentored a postdoctoral researcher and guided development of interactive visualization tools for the …

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A Data-Driven Approach to Nation-Scale Building Energy Modeling featured image

A Data-Driven Approach to Nation-Scale Building Energy Modeling

High-level workflow for large-scale building simulation with AutoBEM: The bottom part of the workflow represents the overall workflow while the top portion provides more detail …

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Andreas Berres
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Distribution of potential savings from urban-scale energy modeling of a utility featured image

Distribution of potential savings from urban-scale energy modeling of a utility

Comparison of annual electricity savings for different vintages (color) and energy conservation measures.

Brett Bass
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A Mobility-Driven Approach to Modeling Building Energy featured image

A Mobility-Driven Approach to Modeling Building Energy

Left: The traffic simulation area (yellow) within the Chicago area (red). Middle: Simulated buildings in the Chicago Loop (blue). Right: 3D rendering of buildings in the Chicago …

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Andreas Berres
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Regional-scale Spatio-Temporal Analysis of Impacts of Weather on Traffic Speed in Chicago using Probe Data featured image

Regional-scale Spatio-Temporal Analysis of Impacts of Weather on Traffic Speed in Chicago using Probe Data

Codes plot after Self-Organizing Maps classification with fan plots in a node representing magnitude of weather attributes (a), and 5 different weather clusters (b).

Kuldeep Kurte
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Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer featured image

Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer

Meanshift clustering based Image workload partitioning. Different clusters are represented by different colors. Images belongs to a cluster will be assigned to an independent job. …

Kuldeep Kurte
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