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Title: PNNL Data-Intensive Computing for a Smarter Energy Grid

Abstract

The Middleware for Data-Intensive Computing (MeDICi) Integration Framework, an integrated platform to solve data analysis and processing needs, supports PNNL research on the U.S. electric power grid. MeDICi is enabling development of visualizations of grid operations and vulnerabilities, with goal of near real-time analysis to aid operators in preventing and mitigating grid failures.

Authors:
;  [1];
  1. Henry
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1057647
Resource Type:
Multimedia
Country of Publication:
United States
Language:
English
Subject:
96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 97 MATHEMATICS AND COMPUTING; MEDICI; ELECTRIC POWER GRID; DATASETS; SUPERCOMPUTER; DATA ANALYSIS

Citation Formats

Imhoff, Carol, Huang, Zhenyu, and Chavarria, Daniel. PNNL Data-Intensive Computing for a Smarter Energy Grid. United States: N. p., 2009. Web.
Imhoff, Carol, Huang, Zhenyu, & Chavarria, Daniel. PNNL Data-Intensive Computing for a Smarter Energy Grid. United States.
Imhoff, Carol, Huang, Zhenyu, and Chavarria, Daniel. Sun . "PNNL Data-Intensive Computing for a Smarter Energy Grid". United States. https://www.osti.gov/servlets/purl/1057647.
@article{osti_1057647,
title = {PNNL Data-Intensive Computing for a Smarter Energy Grid},
author = {Imhoff, Carol and Huang, Zhenyu and Chavarria, Daniel},
abstractNote = {The Middleware for Data-Intensive Computing (MeDICi) Integration Framework, an integrated platform to solve data analysis and processing needs, supports PNNL research on the U.S. electric power grid. MeDICi is enabling development of visualizations of grid operations and vulnerabilities, with goal of near real-time analysis to aid operators in preventing and mitigating grid failures.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2009},
month = {11}
}

Multimedia:

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