Forecasting Residential Building Heating Load With An Innovative Gaussian Process Regression Method

Effectively controlling the heating load (HL) in residential buildings is a vital component of energy conservation and sustainability. This abstract presents a new methodology for predicting HL by incorporating Gaussian Process Regression (GPR) and harnessing the power of two groundbreaking optimiza...

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Veröffentlicht in:	Journal of Applied Science and Engineering Jg. 28; H. 6; S. 1219 - 1231
1. Verfasser:	Xiaoyu Sun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	淡江大學 01.06.2025 Tamkang University Press
Schlagworte:	flow direction algorithms gaussian process regression heating load population-based vortex search algorithm Gaussian Process Regression Heating load Flow Direction Algorithms Population-based Vortex Search Algorithm
ISSN:	2708-9967, 2708-9975
Online-Zugang:	Volltext
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