Overview
- Evaluates science technologies by a large number of simulation experiments
- Introduces state-of-art data science methods for big data analysis of the energy economy
- Provides econometric analysis for the energy market
Part of the book series: Management for Professionals (MANAGPROF)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
Keywords
About this book
This book provides an important reference for professionals in related fields such as smart energy, smart economy, energy Internet, artificial intelligence, energy economics and policy.
Authors and Affiliations
About the authors
Dr. Nikolaos Nikitas is an Associate Professor in Structural Engineering, Data Sciences and Wind Energy at University of Leeds, UK. Prof. Nikitas is the data centric engineering group leader at The Alan Turing Institute, UK. He received double Ph.D degrees from The University of Edinburgh in 2008 and University of Bristol in 2011, respectively.
Dr. Yanfei Li is an Associate Professor in Artificial Intelligence, Smart Agriculture and Smart Energy at Hunan Agricultural University (HAU), China. Prof. Li is the director of Institute of Artificial Intelligence at HAU. She received Ph.D degree from University of Rostock (Germany) in 2014 then worked as a postdoctoral fellow at University of Rostock in 2015.
Mr. Rui Yang is a Ph.D Candidate in Smart Energy Systems at Central South University (CSU), China.
Bibliographic Information
Book Title: Big Data in Energy Economics
Authors: Hui Liu, Nikolaos Nikitas, Yanfei Li, Rui Yang
Series Title: Management for Professionals
DOI: https://doi.org/10.1007/978-981-16-8965-9
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: Science Press 2022
Hardcover ISBN: 978-981-16-8964-2Published: 09 February 2022
Softcover ISBN: 978-981-16-8967-3Published: 10 February 2023
eBook ISBN: 978-981-16-8965-9Published: 08 February 2022
Series ISSN: 2192-8096
Series E-ISSN: 2192-810X
Edition Number: 1
Number of Pages: XXII, 258
Number of Illustrations: 5 b/w illustrations, 92 illustrations in colour
Topics: Natural Resource and Energy Economics, Big Data, Artificial Intelligence, Economic Policy