Forecasting indoor temperatures during heatwaves: Do more complex models provide better predictions?
A novel application of semi-parametric Generalized Additive Models (GAMs) was developed to forecast elevated indoor temperatures. GAM models were compared to AutoRegressive models with eXogenous inputs (ARX) and validated against monitored data from two case study dwellings, located near to Loughbor...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/14812692.v1 |
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