Title :
Application of intelligent decision support technology in Power System
Author :
Chen, Hao ; Zhan, Yan ; Liu, Hai-yan
Author_Institution :
Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China
Abstract :
Distribution network cabling planning is a very complex project. This paper proposes the application of intelligent decision support technology in power system. By adding a module library and the concept of model management systems, Intelligent Power Service System realizes intelligence decision support in the distribution network power cabling planning by using dynamic programming, spatial data mining and decision tree techniques, and has a certain amount of self-learning ability.
Keywords :
data mining; decision support systems; dynamic programming; power cables; power distribution planning; power system analysis computing; power system management; unsupervised learning; Distribution network cabling planning; decision tree techniques; dynamic programming; intelligent decision support technology; intelligent power service system; model management systems; power system; self-learning ability; spatial data mining; Energy management; Intelligent networks; Intelligent systems; Libraries; Power cables; Power system dynamics; Power system management; Power system modeling; Power system planning; Power systems; Decision tree; GIS; Intelligent Decision Support System; Power cabling scheme;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212226
