Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
761903 | Energy Conversion and Management | 2009 | 8 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Mahendra Kumar, I.N. Kar,