Issue |
ITM Web Conf.
Volume 28, 2019
Computer Applications in Electrical Engineering (ZkwE’2019)
|
|
---|---|---|
Article Number | 01006 | |
Number of page(s) | 2 | |
DOI | https://doi.org/10.1051/itmconf/20192801006 | |
Published online | 15 July 2019 |
A neural model supported by the Evolutionary Algorithm inspired by quantum calculations to determine prices at the Polish Power Exchange Day Ahead Market
1
University of Natural Sciences and Humanities, Computer Science Institute,
08-110
Siedlce, Poland
2
PhD Student at University of Natural Sciences and Humanities, Computer Science Institute,
08-110
Siedlce, Poland
* Corresponding author: Jerzy.Tchorzewski@uph.edu.pl
The paper contains selected results of research related to the nature and the implementation of the neural model supported by the evolutionary algorithm inspired by quantum calculations for determination of prices at the Polish Power Exchange. Numeric data quoted at the Day Ahead Market in the period of 1st January 2015 to 30th June 2015 were used to train the artificial neural network in the model of the system. Attention was paid to quantization method, dequantization method and the method of quantum calculations. Significant improvement of the neural model supported by the quantum-inspired evolutionary algorithm was obtained compared with the model without quantum inspiration.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.