03610nam a22005895i 4500 978-3-031-63288-4 DE-He213 20251030112647.0 cr nn 008mamaa 240724s2024 sz | s |||| 0|eng d 9783031632884 978-3-031-63288-4 10.1007/978-3-031-63288-4 doi TK1001-1841 THR bicssc TEC031020 bisacsh THR thema Brown Do Coutto Filho, Milton. author. aut http://id.loc.gov/vocabulary/relators/aut 81197 Power System State Estimation and Forecasting [electronic resource] : Fundamentals and Advanced Topics / by Milton Brown Do Coutto Filho. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXV, 262 p. 102 illus., 78 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Power Systems, 1860-4676 Introduction -- StaticStateEstimation -- NetworkConfiguration -- ObservationCapabilityofMeasuringSystems -- CriticalityAnalysis -- HandlingCorruptedMeasurements -- ForecastingAidedStateEstimation -- PhasorAidedStateEstimation -- PowerNetworkBranchParameters -- Closure. This classroom-tested text offers students an overview of classical and recent state estimation techniques in power systems. It includes well-established, widely accepted information presented in a didactic way and new insights and perspectives on state estimation developed by the author while conducting some of the most cutting-edge research in the field. This well-balanced mix of theory and practice will enable readers to understand state estimation techniques quickly. The book includes a user-friendly open-software tool integrating computer-based examples throughout the text. Case studies based on practical applications provide readers with a solid understanding of state estimation in real-world power systems. Power System State Estimation and Forecasting: Fundamentals and Advanced Topics is designed for upper-level undergraduate and graduate-level courses in electric power systems. It is also an essential professional reference on electric power systems for practicing engineers and researchers. All state estimation steps are addressed; Includes case studies and open-software tools and examples; Provides coverage on state-of-the-art power system state estimation. Electric power production. 65675 Power electronics. Electric power distribution. 66068 Energy policy. 61992 Energy and state. 66460 Electrical Power Engineering. 65867 Power Electronics. Energy Grids and Networks. 66069 Energy Policy, Economics and Management. 66461 Mechanical Power Engineering. 65678 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031632877 Printed edition: 9783031632891 Printed edition: 9783031632907 Power Systems, 1860-4676 13832 https://doi.org/10.1007/978-3-031-63288-4 ZDB-2-ENE ZDB-2-SXEN 61875 61875