Abstract
This paper discusses the need for data-driven tools to manage modern electric grids, where planning and operational decisions increasingly require empirical data on various time scales. The advancement of such tools will hinge on deploying instrumentation to collect faster and more localized measurements, capitalizing on state-of-the-art software solutions to facilitate big-data workflows, and enabling open exchange of data and information with research collaborators.
Published Version
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