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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Vydáno v:	Journal of Building Engineering Ročník 68; s. 106115
Hlavní autoři:	Nazir, Kashif, Memon, Shazim Ali, Saurbayeva, Assemgul, Ahmad, Abrar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.06.2023
Témata:	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
On-line přístup:	Získat plný text
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