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Smart Cities: Big Data Prediction Methods and Applications

  • Hui Liu
Book

About this book

Introduction

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

  • Hui Liu
    • 1
  1. 1.School of Traffic and Transportation EngineeringCentral South UniversityChangshaChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-2837-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-15-2836-1
  • Online ISBN 978-981-15-2837-8
  • Buy this book on publisher's site