Provides theoretical foundation and technical applications for energy system integration
Contains new research problems and methodologies for researchers and practitioners in energy system integration
Presents in-depth discussion in a systematic fashion
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Dr. Jianhui Wang is an Associate Professor with the Department of Electrical Engineering at Southern Methodist University. Dr. Wang is the Principal Investigator for a multitude of energy-related research projects focused on smart grid, microgrids, power system operation and control, renewable integration, grid resilience and cybersecurity. He has been invited to give tutorials and keynote speeches at major conferences including IEEE ISGT, IEEE SmartGridComm, IEEE SEGE, IEEE HPSC and IGEC-XI.
Dr. Wang is the secretary of the IEEE Power & Energy Society (PES) Power System Operations, Planning & Economics committee. Before being promoted and elected to this position, he was the chair of the IEEE PES Power System Operation Methods Subcommittee for six years. He is also the recipient of the IEEE Chicago Section 2012 Outstanding Young Engineer Award.Dr. Wang has authored and/or co-authored more than 300 journal and conference publications, which have been cited for more than 14,300 times by his peers. He is an associate editor of Journal of Energy Engineering, an editorial board member of Applied Energy and IEEE Power and Energy Magazine. He served as guest editor for a special issue of the IEEE Power and Energy Magazine on Electrification of Transportation, which won an APEX Grand Award. Dr. Wang also served as the editor of Artech House Publishers' Power Engineering Book Series, and as the Technical Program Chair of the 2012 IEEE PES Innovative Smart Grid Technologies conference.
Dr. Wang is the Editor-in-Chief of the IEEE Transactions on Smart Grid and an IEEE PES Distinguished Lecturer. He is also a guest editor of a Proceedings of the IEEE special issue on power grid resilience. He is the recipient of the IEEE PES Power System Operation Committee Prize Paper Award in 2015 and the 2018 Premium Award for Best Paper in IET Cyber-Physical Systems: Theory & Applications.
Dr. Wang is a 2018 Clarivate Analytics highly cited researcher for production of multiple highly cited papers that rank in the top 1% by citations for field and year in Web of Science.
Wei Wei is an Associate Professor at Tsinghua University. His research interests include applied optimization and energy system economics. He was a visiting scholar with Cornell University in 2014 and with Harvard University in 2015, respectively. He is a Senior Member of the IEEE and a laureate of the Young Elite Scientist Award of the Chinese Society for Electrical Engineering. He has published more than 90 research articles in peer reviewed journals and conference proceedings, and holds two journal paper awards and a best conference paper award.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Etat : New. pp. XXIII, 709 186 illus., 120 illus. in color. 2020th edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26384560405
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides theoretical foundation and technical applications for energy system integrationAppendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs . N° de réf. du vendeur 448676972
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs; Formulation Tricks in Integer Programming; Basics of Robust Optimization; Equilibrium Problems. This book provides theoretical foundation and technical applications for energy system integration, and the the interdisciplinary research presented will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering. 736 pp. Englisch. N° de réf. du vendeur 9783030259600
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Taschenbuch. Etat : Neu. Modeling and Optimization of Interdependent Energy Infrastructures | Wei Wei (u. a.) | Taschenbuch | xxiii | Englisch | 2020 | Springer | EAN 9783030259600 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 119057679
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs; Formulation Tricks in Integer Programming; Basics of Robust Optimization; Equilibrium Problems. This book provides theoretical foundation and technical applicationsfor energy system integration, and the the interdisciplinary research presented will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 736 pp. Englisch. N° de réf. du vendeur 9783030259600
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated energy system more efficiently and reliably, and constitute a foundational basis for decision support tools for the next-generation energy network. Chapters present new operation models of the coupled energy infrastructure and the application of new methodologies including convex optimization, robust optimization, and equilibrium constrained optimization. Four appendices provide students and researchers with helpful tutorials on advanced optimization methods: Basics of Linear and Conic Programs; Formulation Tricks in Integer Programming; Basics of Robust Optimization; Equilibrium Problems. This book provides theoretical foundation and technical applications for energy system integration, and the the interdisciplinary research presented will be useful to readers in many fields including electrical engineering, civil engineering, and industrial engineering. N° de réf. du vendeur 9783030259600
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. XXIII, 709 186 illus., 120 illus. in color. N° de réf. du vendeur 18384560415
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