DocumentCode :
3274083
Title :
Data mining software design for wind farms
Author :
LiYang Liu ; Junji Wu ; Shaoliang Meng
Author_Institution :
Sch. of Energy & Power Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2013
fDate :
23-25 May 2013
Firstpage :
23
Lastpage :
26
Abstract :
Recent years has witnessed a rapid development of the wind power industry. It has become a concern for operators as to how to extract valuable information from the massive amount of historical data generated during operation of wind farm. A design plan of data mining software applied in wind farm is proposed in this paper. B/S mode and J2EE framework are adopted, and the software is composed of three layers: data layer, logical layer and presentation layer. The technology used in software development is explained in detail. Data mining algorithms of the software are also introduced, with the focus laid on analytical method of time series. The plan is highly feasible and can be taken as reference to development of data analysis software for wind farms.
Keywords :
data mining; power engineering computing; software engineering; time series; wind power plants; B/S mode; J2EE framework; data analysis software; data layer; data mining software design; historical data; logical layer; presentation layer; software development technology; time series analytical method; wind farms; wind power industry; Analytical models; Browsers; Computational modeling; Fluctuations; Software; Wind farms; ARIMA; J2EE; data mining; dynamic time warping; time series; wind farm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4673-4997-0
Type :
conf
DOI :
10.1109/ICSESS.2013.6615248
Filename :
6615248
Link To Document :
بازگشت