Editors:
- Provides an introduction to forecasting methods for renewable energy sources integrated with existing grid
- Includes artificial intelligence, machine learning, hybrid techniques, and other state-of-the-art techniques
- Helps readers in enhancing their knowledge in the field of power system, sustainable energy, and power engineering
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 956)
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Table of contents (10 chapters)
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Front Matter
About this book
Editors and Affiliations
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ICE Department, Netaji Subhas University of Technology, New Delhi, India
Anuradha Tomar
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Netaji Subhas University of Technology, New Delhi, India
Prerna Gaur
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Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark
Xiaolong Jin
About the editors
Prof. Prerna Gaur has completed her B.Tech. in Electrical Engineering (1988), M.Tech (1996) and Ph.D. (2009), Presently, Director, NSUT, East Campus. Professor & founder Head in Instrumentation and Control and Electrical Engineering Department in NSUT. Six years of Industry experience and 28 years of Teaching. H index-19 and i10 index -42. She is Director & Member Secretary, Business Incubator of NSUT and NBA Co-ordinator of NSUT. Has organized IEEE international conference DELCON2022, INDICON2020 and IICPE-2010 and at NSUT. She is actively associated with IEEE (Senior Member), ISTE (Life Member), IETE Fellow and IE (Fellow). Treasurer, IEEE India Council from Jan 2021. Chair, IEEE Delhi Section 2019-20.
Outstanding Branch Counsellor and Advisor Award 2021, IEEE Member of Geographic Activities. Outstanding Volunteer Award, from IEEE India Council, 2019, Women of the Decade in Academia, 2018. Maulana Abul Kalam Azad Excellence award in Education-2015. IEEE PES Outstanding Chapter Engineer Award 2015 from IEEE Delhi Section, Outstanding Chapter award from IEEE PELS, NJ, USA 2013.Outstanding Branch Counselor Award from Region 10 (Asia Pacific Region) in 2012 and from IEEE USA in 2009.
Xiaolong Jin received the B.S., M.S. and Ph.D. degrees in electrical engineering from Tianjin University, China, in 2012, 2015 and 2018, respectively. He is currently Postdoc Researcher with Technical University of Denmark. From 2017 to 2019, he was a joint Ph.D. student with the School of Engineering, Cardiff University, Cardiff, UK. His research interests include energy management of multi-energy buildings and their integrations with integrated energy systems and the energy and flexibility markets solutions.
Bibliographic Information
Book Title: Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting
Editors: Anuradha Tomar, Prerna Gaur, Xiaolong Jin
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-981-19-6490-9
Publisher: Springer Singapore
eBook Packages: Energy, Energy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-19-6489-3Published: 21 January 2023
Softcover ISBN: 978-981-19-6492-3Published: 21 January 2024
eBook ISBN: 978-981-19-6490-9Published: 20 January 2023
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XII, 198
Number of Illustrations: 14 b/w illustrations, 54 illustrations in colour
Topics: Energy Systems, Renewable and Green Energy, Artificial Intelligence