E3S Web Conf.
Volume 84, 201914th International Scientific Conference “Forecasting in Electric Power Engineering” (PE 2018)
|Number of page(s)||9|
|Section||Forecasting in Electric Power Engineering|
|Published online||11 February 2019|
Non-Negative K-SVD as an element of the forecasting electricity demand system
UTP University of Science and Technology, Faculty of Telecommunications, Computer Science and Electrical Engineering, Prof. S. Kaliskiego 7 Ave, 85-796 Bydgoszcz, Poland
* Corresponding author: email@example.com
The article describes the NN-K-SVD method based on the use of sparse coding and the singular value decomposition to specific values. An example of using the method is the compression of load profiles. The experiment of compression of 125022 power load profiles has been carried out with the use of registered profiles in households and small offices. Two matrices: patterns (atoms) and scaling factors are the result of the discussed algorithm. Features of the created matrices, which can be used in the creation of fast power demand forecasting systems, have been characterized.
© 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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