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9783030399450 - Data Analytics-based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks Springer Theses by Pono?ko, Jelena (11 results)
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Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks (Springer Theses)
Book 695 of 797: Springer ThesesSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Paperback. Condition: Brand New. 224 pages. 9.25x6.10x0.55 inches. In Stock.
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Taschenbuch. Condition: Neu. Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks | Jelena Pono¿ko | Taschenbuch | Springer Theses | xxvi | Englisch | 2021 | Springer | EAN 9783030399450 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks
Book 695 of 797: Springer ThesesLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030399451 ISBN 13: 9783030399450
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis deals with two important and very timely aspects of the future power system operation - assessment of demand flexibility and advanced demand side management (DSM) facilitating flexible and secure operation of the power network. It provides a clear and comprehensive literature review in these two areas and states precisely the original contributions of the research.The book first demonstrates the benefits of data mining for a reliable assessment of demand flexibility and its composition even with very limited observability of the end-users. It then illustrates the importance of accurate load modelling for efficient application of DSM and considers different criteria in designing DSM programme to achieve several objectives of the network performance simultaneously. Finally, it demonstrates the importance of considering realistic assumptions when planning and estimating the success of DSM programs.The findings presented here have both scientific and practical significance; they gained her BSc and MSc degrees in electrical engineering from the University of Belgrade in 2011 and 2012 respectively. She graduated with her PhD from the University of Manchester. She has presented at several conferences, and has won runner-up prizes in poster presentation at three. She has authored or co-authored more than 40 journal, conference and technical papers.provide a basis for further research, and can be used to guide future applications in industry.
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Condition: new. Questo è un articolo print on demand.
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Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks
Book 695 of 797: Springer ThesesLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030399451 ISBN 13: 9783030399450
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an exhaustive summary of the latest tendencies in demand side managementPresents examples of data analytics and text mining applied to power system studiesOffer in-depth analysis of smart metering requirements in support of distrib.
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Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks
Book 695 of 797: Springer ThesesLanguage: English
Published by Springer, Springer Jan 2021, 2021
ISBN 10: 3030399451 ISBN 13: 9783030399450
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This thesis deals with two important and very timely aspects of the future power system operation - assessment of demand flexibility and advanced demand side management (DSM) facilitating flexible and secure operation of the power network. It provides a clear and comprehensive literature review in these two areas and states precisely the original contributions of the research.The book first demonstrates the benefits of data mining for a reliable assessment of demand flexibility and its composition even with very limited observability of the end-users. It then illustrates the importance of accurate load modelling for efficient application of DSM and considers different criteria in designing DSM programme to achieve several objectives of the network performance simultaneously. Finally, it demonstrates the importance of considering realistic assumptions when planning and estimating the success of DSM programs.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
