Hourly pollutants forecasting using a deep learning approach to obtain the AQI
Hourly pollutants forecasting using a deep learning approach to obtain the AQI
About this item
Full title
Author / Creator
Publisher
Oxford University Press
Journal title
Language
English
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Publication information
Publisher
Oxford University Press
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Contents
Abstract
The Air Quality Index (AQI) shows the state of air pollution in a unique and more understandable way. This work aims to forecast the AQI in Algeciras (Spain) 8 hours in advance. The AQI is calculated indirectly through the predicted concentrations of five pollutants (O3, NO2, CO, SO2 and PM10) to achieve this goal. Artificial neural net...
Alternative Titles
Full title
Hourly pollutants forecasting using a deep learning approach to obtain the AQI
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Record Identifier
TN_cdi_crossref_primary_10_1093_jigpal_jzac035
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1093_jigpal_jzac035
Other Identifiers
ISSN
1367-0751
E-ISSN
1368-9894
DOI
10.1093/jigpal/jzac035
