Can semi-parametric additive models outperform linear models, when forecasting indoor temperatures in free-running 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...

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Bibliographic Details
Main Authors: Matej Gustin, Rob McLeod, Kevin Lomas
Format: Default Article
Published: 2019
Subjects:
Other built environment and design not elsewhere classified
Time series forecasting
Generalized additive Model (GAM)
AutoRegressive model with eXogenous inputs (ARX)
Logistic GAM
Heatwave
Overheating
Indoor temperature.
Window opening state
Built Environment and Design not elsewhere classified
Online Access:https://hdl.handle.net/2134/37393
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