Design and Implementation of an IoT-Based Indoor Air Quality Monitor with Ensemble and Unscented Kalman Filter Forecasting
An affordable Internet of Things (IoT) based monitoring system that can accurately and affordably detect changes in indoor air quality and analytical and forecasting approaches to the air quality measurement data utilizing the Ensemble Kalman Filter (EnKF) and Unscented Kalman Filter (UKF) methods are developed.