We propose a novel framework for predicting various air pollutants 12-hours ahead at construction sites. The framework utilizes two predictive models, comparing their performances. An experiment conducted on data acquired from sensor stations at a construction site proves that each model can be used to predict certain types of pollutants.
Air Pollution Forecasting at Construction Sites: An Intelligent Comparative Framework
Gill, Eliezer ZahidPrimo
;Cangelmi, LeonardoSecondo
;Cellini, Paola;Cardone, DanielaPenultimo
;Amelio, AlessiaUltimo
2025-01-01
Abstract
We propose a novel framework for predicting various air pollutants 12-hours ahead at construction sites. The framework utilizes two predictive models, comparing their performances. An experiment conducted on data acquired from sensor stations at a construction site proves that each model can be used to predict certain types of pollutants.File in questo prodotto:
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