TY  - BOOK
AU  - Brown Do Coutto Filho,Milton
ED  - SpringerLink (Online service)
TI  - Power System State Estimation and Forecasting: Fundamentals and Advanced Topics 
T2  - Power Systems,
SN  - 9783031632884
AV  - TK1001-1841 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Electric power production
KW  - Power electronics
KW  - Electric power distribution
KW  - Energy policy
KW  - Energy and state
KW  - Electrical Power Engineering
KW  - Power Electronics
KW  - Energy Grids and Networks
KW  - Energy Policy, Economics and Management
KW  - Mechanical Power Engineering
N1  - Introduction -- StaticStateEstimation -- NetworkConfiguration -- ObservationCapabilityofMeasuringSystems -- CriticalityAnalysis -- HandlingCorruptedMeasurements -- ForecastingAidedStateEstimation -- PhasorAidedStateEstimation -- PowerNetworkBranchParameters -- Closure
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-63288-4
ER  -