Data on actual and predicted pollutant values in air quality experiments
Published: 15 December 2019| Version 1 | DOI: 10.17632/4y586x9bhv.1
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."
Machine Learning, Big Data Analytics, Smart City, Ambient Air Quality Monitoring, Decision Making