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Smart Cities: Big Data Prediction Methods and Applications

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Cover of 'Smart Cities: Big Data Prediction Methods and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Key Issues of Smart Cities
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    Chapter 2 Electrical Characteristics and Correlation Analysis in Smart Grid
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    Chapter 3 Prediction Model of City Electricity Consumption
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    Chapter 4 Prediction Models of Energy Consumption in Smart Urban Buildings
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    Chapter 5 Characteristics and Analysis of Urban Traffic Flow in Smart Traffic Systems
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    Chapter 6 Prediction Model of Traffic Flow Driven Based on Single Data in Smart Traffic Systems
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    Chapter 7 Prediction Models of Traffic Flow Driven Based on Multi-Dimensional Data in Smart Traffic Systems
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    Chapter 8 Prediction Models of Urban Air Quality in Smart Environment
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    Chapter 9 Prediction Models of Urban Hydrological Status in Smart Environment
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    Chapter 10 Prediction Model of Urban Environmental Noise in Smart Environment
Attention for Chapter 2: Electrical Characteristics and Correlation Analysis in Smart Grid
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Chapter title
Electrical Characteristics and Correlation Analysis in Smart Grid
Chapter number 2
Book title
Smart Cities: Big Data Prediction Methods and Applications
Published by
Springer, Singapore, January 2020
DOI 10.1007/978-981-15-2837-8_2
Book ISBNs
978-9-81-152836-1, 978-9-81-152837-8
Authors

Hui Liu, Liu, Hui

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