Synconn_build: A python based synthetic dataset generator for testing and validating control-oriented neural networks for building dynamics prediction

Applying model-based predictive control in buildings requires a control-oriented model capable of learning how various control actions influence building dynamics, such as indoor air temperature and energy use. However, there is currently a shortage of empirical or synthetic datasets with the approp...

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Veröffentlicht in:	MethodsX Jg. 11; S. 102464
Hauptverfasser:	Chaudhary, Gaurav, Johra, Hicham, Georges, Laurent, Austbø, Bjørn
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier 01.12.2023
Schlagworte:	air temperature data collection energy meteorological data prediction synconn_build: A python based synthetic building dynamics and operation dataset generator
ISSN:	2215-0161, 2215-0161
Online-Zugang:	Volltext
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