Data on actual and predicted pollutant values in air quality experiments

Published: 15 December 2019| Version 1 | DOI: 10.17632/4y586x9bhv.1
Contributors:
Guadalupe Ortiz,
José Antonio Caravaca,
Alfonso Garcia-De-Prado,
Francisco Chavez,
Juan Boubeta-Puig

Description

This dataset provides data on actual and predicted pollutant values in air quality experiments during 2 months. The actual data are obtained from the Andalusian government and in this dataset correspond to the data measured for pollutants Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Ozone (O3), Particulate Matter (PM2,5 and PM10) and Sulphur Dioxide (SO2) in the city of Mazagón (Andalucía, Spain). The predicted data have been obtained using the architecture and prediction algorithm proposed in the paper "Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making."

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Categories

Machine Learning, Big Data Analytics, Smart City, Ambient Air Quality Monitoring, Decision Making

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