DocumentCode
2832749
Title
Power quality prediction algorithms and analysis
Author
Xin, Gao ; Shengkui, Dai
Author_Institution
Coll. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
fYear
2012
fDate
June 30 2012-July 2 2012
Firstpage
476
Lastpage
480
Abstract
By using the gray prediction adaptive system whose parameter is variable and structure is fixed, this paper revises data sequence of the distortion in the power by using improved model. This method also increases prediction accuracy. Theory analysis and derivation was made according to mathematic analytic method the in power.
Keywords
mathematical analysis; power supply quality; data sequence; gray prediction adaptive system; mathematic analytic method; power distortion; power quality prediction algorithms; Accuracy; Adaptation models; Algorithm design and analysis; Data models; Mathematical model; Prediction algorithms; Predictive models; power quality; prediction; simulation; the gray theory;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-1-4673-0944-8
Electronic_ISBN
978-1-4673-0943-1
Type
conf
DOI
10.1109/ICSSE.2012.6257231
Filename
6257231
Link To Document