Non-linear HVAC computations using least square support vector machines

被引：62
|
作者：
Kumar, Mahendra [1 ]
Kar, I. N. [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, New Delhi 110016, India
来源：
ENERGY CONVERSION AND MANAGEMENT | 2009年 / 50卷 / 06期
关键词：
HVAC; Thermal comfort; Psychrometric chart; Prediction model; Least square support vector machines;
D O I：
10.1016/j.enconman.2009.03.009
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
This paper aims to demonstrate application of least square support vector machines (LS-SVM) to model two complex heating, ventilating and air-conditioning (HVAC) relationships. The two applications considered are the estimation of the predicted mean vote (PMV) for thermal comfort and the generation of psychrometric chart. LS-SVM has the potential for quick, exact representations and also possesses a structure that facilitates hardware implementation. The results show very good agreement between function values computed from conventional model and LS-SVM model in real time. The robustness of LS-SVM models against input noises has also been analyzed. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1411 / 1418
页数：8
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