http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Mathematical sciences research challenges for the next-generation electric grid
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.
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.
Includes bibliographical references (pages 75-78).
Washington, D.C. : National Academies Press, [2015]