Gas load forecasting based on optimized fuzzy c-mean clustering analysis of selecting similar days

Gas load forecasting based on optimized fuzzy c-mean clustering analysis of selecting similar days

Traditional fuzzy c-means (FCM) clustering in short term load forecasting method is easy to fall into local optimum and is sensitive to the initial cluster center.In this paper,we propose to use global search feature of particle swarm optimization (PSO) algorithm to avoid these shortcomings,and to u...

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Bibliographic Details
Main Authors: Qiu Jing, Xu Xiaozhong, Deng Song, Wang Ting
Format: Article
Language:English
Published: Academic Journals Center of Shanghai Normal University 2017-08-01
Series:Journal of Shanghai Normal University (Natural Sciences)
Subjects:
short term load forecasting
similar days
similarity
fuzzy c-means (FCM) clustering
particle swarm optimization (PSO) algorithm
support vector machine (SVM)
Online Access:http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20170416&flag=1

Internet

http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=20170416&flag=1

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