Smart Cities: Big Data Prediction Methods and Applications
Synopsis
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.
Book details
- Edition:
- 1st ed. 2020
- Author:
- Hui Liu
- ISBN:
- 9789811528378
- Related ISBNs:
- 9789811528361
- Publisher:
- Springer Singapore, Singapore
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- Yes
- Date of addition:
- 2020-03-26
- Usage restrictions:
- Copyright
- Copyright date:
- 2020
- Copyright by:
- Springer Nature Singapore Pte Ltd.
- Adult content:
- No
- Language:
- English
- Categories:
- Art and Architecture, Computers and Internet, Mathematics and Statistics, Nonfiction, Technology