Forecasting performance comparison of two hybrid machine learning models for cooling load of a large-scale commercial building

The hourly cooling load forecasting of a commercial building is very hard to be guaranteed with high accuracy. Due to the high cost of purchase, installation and maintenance for data acquisition devices in some cases, the forecasting method for univariate time series with nonlinear, random, large fl...

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Bibliographic Details

Published in:	Journal of Building Engineering Vol. 21; pp. 64 - 73
Main Authors:	Xuan, Zhou, Xuehui, Zi, Liequan, Liang, Zubing, Fan, Junwei, Yan, Dongmei, Pan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2019
Subjects:	Chaos-SVR Hybrid forecasting algorithm of cooling load Machine learning WD-SVR Chaos-SVR Hybrid forecasting algorithm of cooling load WD-SVR Machine learning
ISSN:	2352-7102, 2352-7102
Online Access:	Get full text
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