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Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks de Jelena Ponoćko

Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks: Springer Theses

Autor Jelena Ponoćko
en Limba Engleză Paperback – 28 ian 2021
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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Paperback (1) 62407 lei  6-8 săpt.
  Springer International Publishing – 28 ian 2021 62407 lei  6-8 săpt.
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  Springer International Publishing – 28 ian 2020 63015 lei  6-8 săpt.

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Specificații

ISBN-13: 9783030399450
ISBN-10: 3030399451
Ilustrații: XXVI, 198 p. 123 illus., 109 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.32 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- The Need for and Application of Data Analytics in Distribution System Studies.- Advanced Demand Profiling.- Multi-objective Demand Side Management at Distribution Network Level.- Conclusions and Further Work

Notă biografică

Dr Jelena Ponocko received her BSc and MSc degrees in Electrical Engineering from the University of Belgrade, Serbia, in 2011 and 2012, respectively, and her PhD degree from The University of Manchester. She has authored or co-authored more than 40 research publications and technical reports, and has given presentations at international conferences and seminars around the world.

Textul de pe ultima copertă

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 practicalsignificance; 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.

Caracteristici

Provides an exhaustive summary of the latest tendencies in demand side management Presents examples of data analytics and text mining applied to power system studies Offer in-depth analysis of smart metering requirements in support of distribution network operation