Classification for consumption data in smart grid based on forecasting time series
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- 作者：Ká ; lmá ; n Tornaia ; tornai.kalman@itk.ppke.hu" class="auth_mail" title="E-mail the corresponding author ; Ló ; rá ; nt Ková ; csb ; Andrá ; s Olá ; ha ; Rajmund Drenyovszkib ; Istvá ; n Pinté ; rb ; Dá ; vid Tiszaa ; Já ; nos Levendovszkyc
- 关键词：Time series forecast ; Feedforward Neural Network ; Classification methods ; Clustering methods
- 刊名：Electric Power Systems Research
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：141
- 期：Complete
- 页码：191-201
- 全文大小：2429 K
文摘
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A novel scheme for classification of consumption time series has been proposed.
The scheme is based on forecasting and comparing consumption values to measurements.
The method performs better than existing solutions both on artificial and real data.
The proposed design of the proposed scheme implied clustering capabilities.