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Record Nr. |
UNINA9910555122003321 |
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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. |
UNINA9910566468303321 |
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Autore |
Alamprese Cristina |
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Titolo |
Sustainability of Olive Oil System |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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Descrizione fisica |
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1 online resource (328 p.) |
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Soggetti |
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Research & information: general |
Research and information: general |
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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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Sommario/riassunto |
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Sustainability, defined as 'meeting current needs without compromising the future', is a widely accepted goal across many sectors of society. Sustainability's criteria and indicators often only regard sustaining present conditions through increased resilience, intended as a system's capacity to experience shocks while retaining essentially the same |
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functions and structures. However, new sustainability concepts, sometimes referred to as "sustainagility", also consider the properties and assets of a system that sustains the ability (agility) of agents to adapt and meet their needs in new ways, preparing for future unpredictability and unforeseen changes. Therefore, resilience must coexist with adaptive capacity for real, long-term sustainability. Consumers are paying increasing attention to the sustainability of the food supply chain; thus, sustainable development is necessary for all food processes. Since the olive oil sector has a well-established historical tradition, any change and innovation that aims to obtain a sustainable development not only needs to be analyzed in terms of environmental, economic, and social aspects, it should also be significantly improved and closely monitored. Thus, this Special Issue is a collection of papers that can increase sustainability knowledge in the olive-oil-processing chain, to take a significant step forward in future developments. |
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