Devin Van Zandt

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Applications used to evaluate next-generation electrical power grids(``smart grids'') are anticipated to be compute and data-intensive. In this work, we parallelize and improve performance of one such application which was run sequentially prior to the use of our cloud-based configuration. We examine multiple cloud computing offerings, both commercial and(More)
Electric utilities in the US are faced with a unique and often conflicting set of challenges in their current operating environment. They are under increasing pressure to design “smarter” systems and improve operational efficiency, even as the integrity of their physical infrastructure declines, and human resources are more constrained. In order to meet(More)
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