| 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 |
