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|0 (IdRef)167359665
|1 http://www.idref.fr/167359665/id
|a Vaccaro, Alfredo.
|4 aut.
|e Auteur
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|a Affine Arithmetic-Based Methods for Uncertain Power System Analysis
|c Alfredo Vaccaro, Antonio Pepiciello.
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|a San Diego, CA :
|b Elsevier Science.
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|a Paris :
|b Cyberlibris,
|c 2022.
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|b txt
|2 rdacontent
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|a Couverture (https://static2.cyberlibris.com/books_upload/136pix/9780323905039.jpg).
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|a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement
|e Cyberlibris
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|a Affine Arithmetic-Based Methods for Uncertain Power System Analysis presents the unique properties and representative applications of Affine Arithmetic in power systems analysis, particularly as they are deployed for reliability optimization. The work provides a comprehensive foundation in Affine Arithmetic necessary to understand the central computing paradigms that can be adopted for uncertain power flow and optimal power flow analyses. These paradigms are adapted and applied to case studies, which integrate benchmark test systems and full step-by-step procedure for implementation so that readers are able to replicate and modify. The work is presented with illustrative numerical examples and MATLAB computations. Provides a uniquely comprehensive review of affine arithmetic in both its core theoretical underpinnings and their developed applications to power system analysis Details the exemplary benefits derived by the deployment of affine arithmetic methods for uncertainty handling in decision-making processes Clarifies arithmetical complexity and eases the understanding of illustrative methodologies for researchers in both power system and decision-making fields
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|a Pepiciello, Antonio.
|4 aut.
|e Auteur
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|u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88955602
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