Overview
- 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
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (5 chapters)
Keywords
About this book
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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Bibliographic Information
Book Title: Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks
Authors: Jelena Ponoćko
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-39943-6
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-39942-9Published: 28 January 2020
Softcover ISBN: 978-3-030-39945-0Published: 28 January 2021
eBook ISBN: 978-3-030-39943-6Published: 27 January 2020
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXVI, 198
Number of Illustrations: 14 b/w illustrations, 109 illustrations in colour
Topics: Energy Systems, Power Electronics, Electrical Machines and Networks, Data Engineering, Sustainability Management