A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities-Reference-Cited by-同舟云学术

A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

Published:2018-07-10 Issue:7 Volume:18 Page:2220
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Huang Chiou-Jye,Kuo Ping-Huan^ORCID

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/18/7/2220/pdf

Reference54 articles.

1. International Energy Agencyhttps://www.iea.org/

2. World Energy Outlook Special Report 2016https://www.iea.org/publications/freepublications/publication/WorldEnergyOutlookSpecialReport2016EnergyandAirPollution.pdf

3. An Open Framework for Participatory PM2.5 Monitoring in Smart Cities

4. City as a major source area of fine particulate (PM2.5) in China

5. PM2.5and mortality in 207 US cities

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