David, A., Sint, S., & Bednar, T. (2022). DATA-DRIVEN MODELLING OF THE ENERGY CONSUMPTION OF AIRPORT CITIES. In Proceedings of BauSim Conference 2022. BauSIM 2022 - 9th Conference of IBPSA-Germany and Austria, Weimar, Germany. https://doi.org/10.34726/3621
BauSIM 2022 - 9th Conference of IBPSA-Germany and Austria
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Event date:
20-Sep-2022 - 22-Sep-2022
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Event place:
Weimar, Germany
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Number of Pages:
6
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Peer reviewed:
Yes
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Keywords:
energy consumption; regression models; prediction performance
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Abstract:
The airport city of Vienna International Airport consists of more than 125 energy-consuming objects – mostly buildings but also infrastructure. In order to ensure their energy-efficient operation, digital models are needed that predict the energy consumption that the objects should have. Multiple linear regression can provide such models if historical data is available to train regression models with. In our approach, we explore how regression models must be set up for the case of airport objects. Further, we investigate how the prediction performance of multiple linear regression can be improved by combining it with other methods.
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Project title:
Virtuelle Flughafen Stadt und Virtuelle Gebäude (Flughafen Wien AG) Energie Monitoring und intelligente Anlagensteuerung in der Smart Airport City: 864947 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)
