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010 a| 2016429530;

020 a| 9780309378567 (paperback);

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050 00 a| TJ807.9.U6b| S395 2015;

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100 1 a| Schwalbe, Michelle.=| ^A1334473;

245 10 a| Mathematical sciences research challenges for the next-generation electric gridh| [electronic resource] :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 .;

260 a| Washington, D.C. :b| National Academies Press,c| [2015];

300 a| x, 89 pages :b| color illustrations, color maps ;c| 26 cm;

504 a| Includes bibliographical references (pages 75-78).;

505 0 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.;

506 a| Available only to authorized users.;

530 a| Also issued online.;

538 a| Mode of access: World Wide Web;

650 0 a| Renewable energy sourcesz| United Statesv| Congresses.=| ^A154087;

650 7 a| Mathematicsx| Research.2| fast0| (OCoLC)fst01012225;

650 7 a| Renewable energy sources.2| fast0| (OCoLC)fst01094570;

651 7 a| United States.2| fast0| (OCoLC)fst01204155?| UNAUTHORIZED;

655 0 a| Electronic books.=| ^A491897;

710 2 a| National Academies of Sciences, Engineering, and Medicine (U.S.).b| Committee on Analytical Research Foundations for the Next-Generation Electric Grid.?| UNAUTHORIZED;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=5516462;

947 a| (OCoLC)ocn926823038;

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Mathematical sciences research challenges for the next-generation electric grid summary of a workshop / 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.

Author/creator	Schwalbe, Michelle
Other author	National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Analytical Research Foundations for the Next-Generation Electric Grid.
Format	Electronic
Publication Info	Washington, D.C. : National Academies Press, [2015]
Description	x, 89 pages : color illustrations, color maps ; 26 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Renewable energy sources--United States. --Congresses. Mathematics--Research. --United States. --Congresses.

Contents	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.
Bibliography note	Includes bibliographical references (pages 75-78).
Access restriction	Available only to authorized users.
Other forms	Also issued online.
Technical details	Mode of access: World Wide Web
Issued in other form	Schwalbe, Michelle. Mathematical sciences research challenges for the next-generation electric grid. Washington, D.C. : National Academies Press, [2015] 9780309378574
Genre/form	Electronic books.
LCCN	2016429530
ISBN	9780309378567 (paperback)
ISBN	0309378567

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