Affine Arithmetic Based Methods for Uncertain Power System Analysis is popular PDF and ePub book, written by Alfredo Vaccaro in 2022-04-07, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Affine Arithmetic Based Methods for Uncertain Power System Analysis can be Read Online from any device for your convenience.
Affine Arithmetic Based Methods for Uncertain Power System Analysis Book PDF Summary
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
Detail Book of Affine Arithmetic Based Methods for Uncertain Power System Analysis PDF
- Author : Alfredo Vaccaro
- Release : 07 April 2022
- Publisher : Elsevier
- ISBN : 9780323905039
- Genre : Technology & Engineering
- Total Page : 166 pages
- Language : English
- PDF File Size : 21,5 Mb
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