A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Can semi-parametric additive models outperform linear models, when forecasting indoor temperatures in free-running buildings?
2019
Energy and Buildings
A novel application combining semi-parametric Generalized Additive Models (GAMs) with logistic GAMs was developed to forecast indoor temperatures and window opening states during prolonged heatwaves. GAM models were compared to AutoRegressive models with eXogenous inputs (ARX) and validated against monitored data from two case study dwellings, located near to Loughborough in the UK, during the 2013 heatwave. Input variables were selected using backward stepwise regressions based on minimisation
doi:10.1016/j.enbuild.2019.03.048
fatcat:rhnhj3d7abevhe7yxxge7tt3mq