Forecast of driving load of hybrid electric vehicles by using discrete cosine transform and support vector machine

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 2227-2234

  Yang, Jian ^a   Huang, Xi ^a   Tan, Ying ^a   He, Xingui ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILES; CLUTCHES; CONTROL THEORY; COSINE TRANSFORMS; DISCRETE COSINE TRANSFORMS; ELECTRIC AUTOMOBILES; ELECTRIC FAULT LOCATION; ELECTRIC VEHICLES; ENERGY MANAGEMENT; FEATURE EXTRACTION; FORECASTING; FUZZY CONTROL; IMAGE CODING; IMAGE RETRIEVAL; INDUSTRIAL MANAGEMENT; LEARNING SYSTEMS; NEURAL NETWORKS; POLLUTION CONTROL; SECONDARY BATTERIES; SUPPORT VECTOR MACHINES; VECTORS;

AUTOMOTIVES; COMPARISON TESTS; CURRENT DRIVINGS; HIGH EFFICIENCIES; HYBRID ELECTRIC VEHICLES; KEY PROBLEMS; LOAD SITUATIONS; LOW EMISSIONS; POLLUTION EMISSIONS; POWER MANAGEMENTS; RAW DATUMS; SUPPORT VECTORS; SVM CLASSIFICATIONS;

ELECTRIC LOAD FORECASTING;

EID: 56349157582     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4634106     Document Type: Conference Paper

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