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1 to 6 of 6 Results

RAISE (Retrofitting Allocation using Income & Spatial Equity): A Tunable Strategy for Household Retrofitting Allocations Apr 20, 2026 Kishore, Aparna, 2026, "RAISE (Retrofitting Allocation using Income & Spatial Equity): A Tunable Strategy for Household Retrofitting Allocations", https://doi.org/10.18130/V3/BHIB7J, University of Virginia Dataverse, V1, UNF:6:1Z/FcgeIHU7PJ2+7ISL3Dw== [fileUNF] The dataset includes both the code and output data for the research work on the retrofitting optimization framework called RAISE. RAISE is designed to allocate state retrofitting budgets to households in a way that maximizes energy savings while ensuring a balanced distribution of funds across counties and income groups. The input folder contains t...
REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure Nov 17, 2025 Kishore, Aparna, 2025, "REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure", https://doi.org/10.18130/V3/IWOVOX, University of Virginia Dataverse, V1, UNF:6:18f6sfDQqMlTGN8qnwaGLg== [fileUNF] Integrating electric vehicles (EVs) into homes and the electrical grid introduces complex dynamics that can overwhelm planning tools. Accurately estimating hourly residential EV charging demand typically requires computationally intensive agent-based simulations that depend on large volumes of input data. Such requirements limit scalability of the...
Shenandoah Valley Region household network database Oct 9, 2020 Thorve, Swapna; Vullikanti, Anil; Swarup, Samarth; Marathe, Achla, 2020, "Shenandoah Valley Region household network database", https://doi.org/10.18130/V3/HDTHSN, University of Virginia Dataverse, V1 Shenandoah Valley Region (SVR) household neighborhood network database. The database contains 3 networks for the SVR region -- houses within 1 mile, 3 miles, 4 miles network.
Pratikriti: A Data Replication Service in the GFFS Nov 4, 2019 Venkataswamy, Vanamala, 2019, "Pratikriti: A Data Replication Service in the GFFS", https://doi.org/10.18130/V3/2BM6LO, University of Virginia Dataverse, V1 This paper describes the design and implementation of Pratikriti, a data replication service with high availability, improved performance and strong data security. Pratikriti provides automatic replication for file system resources in Genesis II [1][6]. Genesis II supports the LightweightExport service [2]; which maps the data residing on local mac...
Performance of the Global Federated File System (GFFS) Jul 20, 2018 Grimshaw, Andrew; Venkataswamy, Vanamala, 2018, "Performance of the Global Federated File System (GFFS)", https://doi.org/10.18130/V3/YWTLHC, University of Virginia Dataverse, V2 GFFS file transfer performance on LAN and WAN
Benchmark for Relational Keyword Search Nov 21, 2017 Coffman, Joel; Weaver, Alfred C., 2017, "Benchmark for Relational Keyword Search", https://doi.org/10.18130/V3/KEVCF8, University of Virginia Dataverse, V3 The benchmark for relational keyword search is a collection of data sets, queries, and relevance assessments designed to facilitate the evaluation of systems supporting keyword search in databases. The benchmark includes three separate data sets with fifty information needs (i.e., queries) for each data set and follows the traditional approach to e...

RAISE (Retrofitting Allocation using Income & Spatial Equity): A Tunable Strategy for Household Retrofitting Allocations

Apr 20, 2026

Kishore, Aparna, 2026, "RAISE (Retrofitting Allocation using Income & Spatial Equity): A Tunable Strategy for Household Retrofitting Allocations", https://doi.org/10.18130/V3/BHIB7J, University of Virginia Dataverse, V1, UNF:6:1Z/FcgeIHU7PJ2+7ISL3Dw== [fileUNF]

The dataset includes both the code and output data for the research work on the retrofitting optimization framework called RAISE. RAISE is designed to allocate state retrofitting budgets to households in a way that maximizes energy savings while ensuring a balanced distribution of funds across counties and income groups. The input folder contains t...

REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure

Nov 17, 2025

Kishore, Aparna, 2025, "REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure", https://doi.org/10.18130/V3/IWOVOX, University of Virginia Dataverse, V1, UNF:6:18f6sfDQqMlTGN8qnwaGLg== [fileUNF]

Integrating electric vehicles (EVs) into homes and the electrical grid introduces complex dynamics that can overwhelm planning tools. Accurately estimating hourly residential EV charging demand typically requires computationally intensive agent-based simulations that depend on large volumes of input data. Such requirements limit scalability of the...

Shenandoah Valley Region household network database

Oct 9, 2020

Thorve, Swapna; Vullikanti, Anil; Swarup, Samarth; Marathe, Achla, 2020, "Shenandoah Valley Region household network database", https://doi.org/10.18130/V3/HDTHSN, University of Virginia Dataverse, V1

Shenandoah Valley Region (SVR) household neighborhood network database. The database contains 3 networks for the SVR region -- houses within 1 mile, 3 miles, 4 miles network.

Pratikriti: A Data Replication Service in the GFFS

Nov 4, 2019

Venkataswamy, Vanamala, 2019, "Pratikriti: A Data Replication Service in the GFFS", https://doi.org/10.18130/V3/2BM6LO, University of Virginia Dataverse, V1

This paper describes the design and implementation of Pratikriti, a data replication service with high availability, improved performance and strong data security. Pratikriti provides automatic replication for file system resources in Genesis II [1][6]. Genesis II supports the LightweightExport service [2]; which maps the data residing on local mac...

Performance of the Global Federated File System (GFFS)

Jul 20, 2018

Grimshaw, Andrew; Venkataswamy, Vanamala, 2018, "Performance of the Global Federated File System (GFFS)", https://doi.org/10.18130/V3/YWTLHC, University of Virginia Dataverse, V2

GFFS file transfer performance on LAN and WAN

Benchmark for Relational Keyword Search

Nov 21, 2017

Coffman, Joel; Weaver, Alfred C., 2017, "Benchmark for Relational Keyword Search", https://doi.org/10.18130/V3/KEVCF8, University of Virginia Dataverse, V3

The benchmark for relational keyword search is a collection of data sets, queries, and relevance assessments designed to facilitate the evaluation of systems supporting keyword search in databases. The benchmark includes three separate data sets with fifty information needs (i.e., queries) for each data set and follows the traditional approach to e...

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