A novel hybrid approach of KPCA and SVM for building cooling load prediction

3rd International Conference on Knowledge Discovery and Data Mining, WKDD 2010

Volumn , Issue , 2010, Pages 522-526

  Li, Xuemei ^a   Ding, Lixing ^a   Lǔ, Jinhu ^a   Xu, Gang ^b   Li, Jibin ^b  

^a ZHONGKAI UNIVERSITY OF AGRICULTURE AND ENGINEERING   (China)

^b SHENZHEN UNIVERSITY   (China)

Author keywords

Cooling load prediction; Kernel principal component analysis; Support vector machine

Indexed keywords

BUILDING COOLING LOAD; COOLING LOAD; GENERALIZATION ABILITY; HYBRID APPROACH; IN-BUILDINGS; KERNEL PRINCIPAL COMPONENT ANALYSIS; LEARNING ABILITIES; LOAD FORECASTING; NONLINEAR FEATURES; NONLINEAR KERNEL FUNCTIONS; PRINCIPAL COMPONENTS; SAMPLE DATA; SIMULATION RESULT;

AIR CONDITIONING; COOLING; DATA MINING; ELECTRIC LOAD FORECASTING; FEATURE EXTRACTION; NONLINEAR ANALYSIS; SUPPORT VECTOR MACHINES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77952159526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WKDD.2010.137     Document Type: Conference Paper

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