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Forecasting air quality index considering socioeconomic indicators and meteorological factors: A data granularity perspective
Chih Hsuan Wang
*
, Chia Rong Chang
*
此作品的通信作者
工業工程與管理學系
研究成果
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同行評審
6
引文 斯高帕斯(Scopus)
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Keyphrases
Socio-economic Indicators
100%
Air Quality Index
100%
Meteorological Factors
100%
Data Granularity
100%
Taiwan
22%
Hsinchu
22%
Kaohsiung
22%
Economic Development
22%
PM10
22%
Particulate Matter 2.5 (PM2.5)
22%
Taipei
11%
Politicians
11%
Taichung
11%
Public Health
11%
Machine Learning
11%
Ambient Temperature
11%
Deep Learning
11%
Energy Management
11%
Cargo
11%
Power Metal
11%
Wind Direction
11%
Environmental Sustainability
11%
Development Environment
11%
Tainan
11%
Wind Speed
11%
Government Policy
11%
Pollutants
11%
Power Generation
11%
Management Economics
11%
Smart Transportation
11%
Temperature-humidity Index
11%
Seasonal Factor
11%
Retail Work
11%
Sustainable Environment
11%
Development Sustainability
11%
Manufacturing Employment
11%
Transportation Energy
11%
Metal Production
11%
Steel Production
11%
Engineering
Quality Index
100%
Granularity
100%
Air Quality
100%
Particular Matter 2.5
22%
Energy Management
11%
Policy Maker
11%
Power Generation
11%
Smart Transportation
11%
Learning System
11%
Deep Learning Method
11%
Earth and Planetary Sciences
Meteorological Factors
100%
Air Quality
100%
Taiwan
22%
Particular Matter 2.5
22%
Nitrogen Dioxide
22%
Economic developments
22%
Environmental Impact Assessment
11%
Wind Velocity
11%
Wind Direction
11%
Machine Learning
11%
Energy Management
11%
Smart Transportation
11%
Transportation Energy
11%
Nutrition Policy
11%
Energy Generation
11%
Agricultural and Biological Sciences
Air Quality
100%
Environmental Sustainability
11%
Wind Direction
11%
Wind Speed
11%
Nutrition Policy
11%
Energy Generation
11%