9,241 to 9,250 of 9,274 Results
May 28, 2019 -
Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation
Unknown - 6.4 KB -
MD5: 356aee4eba9cd2a9c8ce3fec49e074dd
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May 28, 2019 -
Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation
Unknown - 498 B -
MD5: 4a33b072681e56927e996d9940b8bedf
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May 28, 2019 -
Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation
Unknown - 2.1 KB -
MD5: bf73eb926d082f6010ca132cc26f37a1
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May 28, 2019 -
Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation
Unknown - 5.4 KB -
MD5: 810a00ffad2354e43e3d99f353269f0a
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May 28, 2019 -
Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation
Tabular Data - 271 B - 1 Variables, 3 Observations - UNF:6:aJfMPY0FVD4mCi1VYAlrTg==
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May 28, 2019 -
Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation
Tabular Data - 17.9 MB - 13 Variables, 104832 Observations - UNF:6:qND2ch9xrowMQoQ/p1rZbQ==
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May 28, 2019 -
Model and Data for: Feasibility of Using sCO2 Turbines to Balance Load in Power Grids with a High Deployment of Solar Generation
HTML - 13.9 MB -
MD5: 19c7de3e734744ae4e4894987b40370e
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Jul 20, 2018 - Department of Computer Science
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 |
Jul 20, 2018 -
Performance of the Global Federated File System (GFFS)
Adobe PDF - 720.7 KB -
MD5: e72935e091a94c75531974c0db255ea5
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Nov 21, 2017 - Department of Computer Science
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... |
