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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Bibliographic Details
Published in:Journal of Applied Science and Engineering Vol. 28; no. 6; pp. 1219 - 1231
Main Author: Xiaoyu Sun
Format: Journal Article
Language:English
Published: 淡江大學 01.06.2025
Tamkang University Press
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ISSN:2708-9967, 2708-9975
Online Access:Get full text
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