E3S Web Conf.
Volume 84, 201914th International Scientific Conference “Forecasting in Electric Power Engineering” (PE 2018)
|Number of page(s)||10|
|Section||Forecasting in Electric Power Engineering|
|Published online||11 February 2019|
Similarity analysis of the patterns of the monthly electric energy demand time series
Department of Electrical Engineering, Czestochowa University of Technology, Al. Armii Krajowej 17, 42-200 Czestochowa, Poland
* Corresponding author: firstname.lastname@example.org
The similarity analysis of the monthly electric energy demand time series sequence patterns are shown. The similarity-based forecasting models are allowed to be created because a strong relationship between input and output patterns exists. The chi-square test and the correlation tables were calculated for a few definitions of patterns.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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