Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone

The development of energy-efficient buildings by considering early-stage design parameters can help reduce buildings' energy consumption. Machine learning tools are getting popular for forecasting the energy demand of buildings, which play a vital role in improving building energy efficiency. I...

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Veröffentlicht in:	Journal of Building Engineering Jg. 68; S. 106115
Hauptverfasser:	Nazir, Kashif, Memon, Shazim Ali, Saurbayeva, Assemgul, Ahmad, Abrar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2023
Schlagworte:	Early-stage design parameters Energy consumption Gene-expression programming Genetic programming Multi-expression programming Phase change materials Phase change materials Early-stage design parameters Energy consumption Gene-expression programming Multi-expression programming Genetic programming
ISSN:	2352-7102, 2352-7102
Online-Zugang:	Volltext
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