Investigating Cooling Load Estimation via Hybrid Models Based on the Radial Basis Function

To advance energy conservation in cooling systems within buildings, a pivotal technology known as cooling load prediction is essential. Traditional industry computational models typically employ forward or inverse modeling techniques, but these methods often demand extensive computational resources...

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Veröffentlicht in:	International journal of advanced computer science & applications Jg. 15; H. 4
Hauptverfasser:	Zhang, Sirui, Zheng, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	West Yorkshire Science and Information (SAI) Organization Limited 2024
Schlagworte:	Algorithms Artificial intelligence Building materials Cooling Cooling loads Cooling systems Optimization Optimization algorithms Prediction models Predictions Radial basis function Weather
ISSN:	2158-107X, 2156-5570
Online-Zugang:	Volltext
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