Authors:
Broadens readers' understanding of the smart cities
Describes in detail the latest theories and specific applications of smart time series prediction methods in smart cities, as well as a big data framework for three key aspects of building smart cities: smart grid, smart traffic systems and smart environments
Summarizes the most important big data forecasting theories and techniques for building smart cities and proposes embedded prediction algorithms and methods for the mainstream big data platforms
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Table of contents (10 chapters)
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Front Matter
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Part I
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Front Matter
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About this book
Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques.
This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities.
Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.
Keywords
- Smart Cities
- Big Data
- Data Prediction
- Smart Grid
- Smart Traffic System
- Smart Environments
Authors and Affiliations
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School of Traffic and Transportation Engineering, Central South University, Changsha, China
Hui Liu
About the author
Prof. Dr. -Ing. habil. Hui Liu is a Full Professor of Artificial Intelligence & Smart Cities at the Central South University, China. He is Deputy Dean of the Faculty of Traffic and Transportation Engineering, Director of the Institute of Artificial Intelligence and Robotics and a member of various academic committees at Central South University. He previously served as the BMBF junior group leader appointed by the Ministry of Education & Research of Germany at University of Rostock, Germany.
Bibliographic Information
Book Title: Smart Cities: Big Data Prediction Methods and Applications
Authors: Hui Liu
DOI: https://doi.org/10.1007/978-981-15-2837-8
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-2836-1Published: 26 March 2020
Softcover ISBN: 978-981-15-2839-2Published: 26 March 2021
eBook ISBN: 978-981-15-2837-8Published: 25 March 2020
Edition Number: 1
Number of Pages: XXXV, 314
Number of Illustrations: 231 b/w illustrations, 20 illustrations in colour
Topics: Artificial Intelligence, Big Data, Computational Intelligence, Cities, Countries, Regions, Mathematical Models of Cognitive Processes and Neural Networks