Research and application on forecasting methods of air conditioning load based on both the support vector machine and particle swarm optimization

MA Xue-qing; WU Jian-hua; GAO Peng; WEN Lan; ZHANG Wen-ke; ZHANG Zhi-qiang; WANG Ke-xun

doi:10.3969/j.issn.1004-7948.2023.06.009

Home>Articles>Research and application on forecasting methods of air conditioning load based on both the support vector machine and particle swarm optimization

DOI: 10.3969/j.issn.1004-7948.2023.06.009

Research and application on forecasting methods of air conditioning load based on both the support vector machine and particle swarm optimization

MA Xue-qing

WU Jian-hua

GAO Peng

WEN Lan

ZHANG Wen-ke

ZHANG Zhi-qiang

WANG Ke-xun

Keywords：support vector machineparticle swarm optimizationload forecastingheating ventilation and air conditioningbuilding energy consumptionprediction model

Publication Date：2023-06-15

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：5( 29-33 )

Energy Conservation

ISSN：1004-7948

Year, Vol.(Issue)：2023,42(6)