Air Conditioning Load Prediction Based on DE-SVM Algorithm
- Resource Type
- Conference
- Authors
- Chen, Zhonghai; Sun, Yong; Yang, Guoli; Wu, Tengfei; Li, Guizhu; Xin, Longbiao
- Source
- 2010 Third International Symposium on Intelligent Information Technology and Security Informatics Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on. :276-279 Apr, 2010
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Air conditioning
Support vector machines
Predictive models
Kernel
Mathematical model
Civil engineering
Ant colony optimization
Prediction algorithms
Linear regression
Information technology
Air Conditioning load
DE-SVM
Prediction
- Language
Based on SVM (Support Vector Machine) theory, and the model to predict air conditioning load was established. In order to optimize the behavior of SVM, the DE (Differential Evolution) algorithm was introduced into classic SVM. The DE-SVM model is applied to a real example. The comparisons between the predicted results of the three models-GA (Genetic Algorithm) model, ACO (Ant Colony Optimization) and POS (Partial Swarm Optimization) show the precision of the DE-SVM algorithm is high with the maximum relative error being 2.52%.