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Record Nr. |
UNINA9910677002703321 |
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Titolo |
Advances in electric power and energy : static state estimation / / edited by Mohamed E El-Hawary, Dalhousie University |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2020] |
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[Piscataqay, New Jersey] : , : IEEE Xplore, , [2020] |
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ISBN |
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1-119-48044-2 |
1-119-48036-1 |
1-119-48040-X |
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Descrizione fisica |
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1 online resource (xx, 482 pages) : illustrations |
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Collana |
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Disciplina |
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Soggetti |
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Electric power systems - State estimation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1: Introduction -- M. E. El-Hawary -- Chapter 2 : State estimation in power systems based on a mathematical programming approach -- Eduardo Caro and Araceli Hern'andez -- Chapter 3: System Stress and Cascading Blackouts -- Hyde M. Merrill and James W. Felte -- Chapter 4 : Model-based anomaly detection for power system state estimation -- Aditya Ashok, Manimaran Govindarasu, and Venkataramana Ajjarapu -- Chapter 5 : Protection, Control and Operation of Microgrids -- A P Sakis Meliopoulos, Yu Liu Sungyun Choi, and George J Cokkinides -- Chapter 6: Distributed Robust Power System State Estimation -- Vassilis Kekatos; H. Zhu , G. Wang, and Georgios B. Giannakis -- Chapter 7: Robust Wide-Area Fault Visibility and Structural Observability in Power Systems with Synchronized Measurement Units -- Mert Korkali -- Chapter 8: A Hybrid Robust Power System State Estimator with Unknown Measurement Noise -- Junbo Zhao; Lamine Mili; and Massimo La Scala -- Chapter 9: Least-Trimmed-Absolute-Value State estimator -- Ibrahim Omar Habiballah, and Yuanhai Xia -- Chapter 10 : Probabilistic State Estimation in Distribution Networks -- Bernd Brinkmann; and Michael Negnevisky -- Chapter 11: Advanced distribution system state estimation in multi-area architectures -- Marco Pau, Paolo Attilio Pegoraro, Ferdinanda Ponci, and Sara Sulis -- Chapter 12: Hierarchical Multi-Area State |
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Estimation -- Ye Guo; Lang Tong; Wenchuan Wu; Hongbin Sun; Boming Zhang -- Chapter 13: Parallel Domain-Decomposition-Based Distributed State Estimation for Large-Scale Power Systems -- Hadis Karimipour; Venkata Dinavahi -- Chapter 14: Dishonest Gauss Newton method based power system state estimation on a GPU -- Md. Ashfaqur Rahman; and Ganesh Kumar Venayagamoorthy |
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Sommario/riassunto |
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"A static state estimator (SSE) is a collection of digital computer programs which convert telemetered data into a reliable estimate of the transmission network structure and state by accounting for small random metering-communication errors; uncertainties in system parameter values; bad data due to transients and meter-communication failures; and errors in the network structure due to faulty switch-circuit breaker status information. Failure of SSE at System Operators' facilities has been cited as one of the primary causes for some major blackouts over the two decades"-- |
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2. |
Record Nr. |
UNINA9910953170703321 |
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Autore |
Jorgenson Dale W (Dale Weldeau), <1933-> |
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Titolo |
Double dividend : environmental taxes and fiscal reform in the United States / / Dale W. Jorgenson, Richard Goettle, Mun S. Ho, Peter Wilcoxen |
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Pubbl/distr/stampa |
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Cambridge, Massachusetts : , : The MIT Press, , [2013] |
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©2013 |
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ISBN |
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9780262318570 |
0262318571 |
9780262318563 |
0262318563 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (639 p.) |
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Disciplina |
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Soggetti |
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Environmental impact charges - United States |
Taxation - United States |
Fiscal policy - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface -- Acknowledgments -- Designing energy and environmental policies -- Structure of the intertemporal general equilibrium model -- Modeling consumer behavior -- Notes -- Index. |
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Sommario/riassunto |
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"Energy utilization, especially from fossil fuels, creates hidden costs in the form of pollution and environmental damages. The costs are well documented but are hidden in the sense that they occur outside the market, are not reflected in market prices, and are not taken into account by energy users. Double Dividend presents a novel method for designing environmental taxes that correct market prices so that they reflect the true cost of energy. The resulting revenue can be used in reducing the burden of the overall tax system and improving the performance of the economy, creating the double dividend of the title. The authors simulate the impact of environmental taxes on the U.S. economy using their Intertemporal General Equilibrium Model (IGEM). This highly innovative model incorporates expectations about future prices and policies. The model is estimated econometrically from an extensive 50-year dataset to incorporate the heterogeneity of producers and consumers. This approach generates confidence intervals for the outcomes of changes in economic policies, a new feature for models used in analyzing energy and environmental policies. These outcomes include the welfare impacts on individual households, distinguished by demographic characteristics, and for society as a whole, decomposed between efficiency and equity."--Publisher's website. |
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