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|a Mathematical sciences research challenges for the next-generation electric grid :
|b summary of a workshop /
|c Michelle Schwalbe, rapporteur ; Committee on Analytical Research Foundations for the Next-Generation Electric Grid, Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine.
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|a Setting the stage. Low-cost pathways to grid integration of renewable energy -- Data and data analytics. Prosumer-centric power industry transformation -- How to combine observational data sources with first principles of physics to build stable and transportable models for power system design and control -- Grid-scale data fusion -- Optimization and control methods for a robust and resilient power grid. Durantion-differentiated electrical service for integrating renewable power -- Demand-side flexibility for reliable ancillary services in a smart grid -- Advances in mixed-integer programming and the impact on managing electric power grids -- Uncertainty quantifications and validation. How well can we measure what didn't happen and predict what won't? -- Mathematical models in power markets -- Discussion -- Strategies going forward.
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|a National Academies of Sciences, Engineering, and Medicine (U.S.).
|b Committee on Analytical Research Foundations for the Next-Generation Electric Grid.
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|a Mathematical Sciences Research Challenges for the Next-Generation Electric Grid: Summary of a Workshop (Text)
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|a Schwalbe, Michelle.
|t Mathematical sciences research challenges for the next-generation electric grid.
|d Washington, D.C. : National Academies Press, [2015]
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