PMV Index Forecasting Algorithm Based on PSO-SVR

Min Hua Zhao; Ting Yan

doi:10.4028/www.scientific.net/AMR.912-914.1313

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 912-914PMV Index Forecasting Algorithm Based on PSO-SVR

PMV Index Forecasting Algorithm Based on PSO-SVR

Abstract:

In this context, the paper is forecasting PMV index by four environmental variables and two personal variables. The first set of strategies is Using SVR to predict PMV and the second one is PSO-SVR that particle swarm optimization (PSO) is chosen as an optimization technique to optimize the SVR parameters setting. Simulation results are presented for two case studies to validate the proposed methodology in terms of both SVR and PSO-SVR.

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Periodical:

Advanced Materials Research (Volumes 912-914)

Pages:

1313-1317

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.912-914.1313

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Online since:

April 2014

Authors:

Min Hua Zhao*, Ting Yan

Keywords:

Pmv, PSO, SVM. PSO–SVR, Thermal Comfort

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