- Tytuł:
- Evolutionary algorithm inspired by the methods of quantum computer sciences for the improvement of a neural model of the electric power exchange
- Autorzy:
-
Tchórzewski, J.
Ruciński, D. - Powiązania:
- https://bibliotekanauki.pl/articles/94729.pdf
- Data publikacji:
- 2017
- Wydawca:
- Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
- Tematy:
-
Artificial Neural Network
Matlab language
modelling
quantum computation
Polish Power Exchange
day ahead market - Opis:
- The work contains results of research on the possibility to improve the neural model of the Electric Power Exchange (polish: Towarowa Giełda Energii Elektrycznej – TGEE) in MATLAB and Simulink environment using evolutionary algorithm inspired by quantum computer science. The developed artificial neural network was trained using data for the Day Ahead Market, assuming the joint volume of supplied and sold electrical energy [MWh] as the input quantities in each hour of the 24-hour day, and average prices [PLN/MWh] as output quantities. The obtained model of the exchange system was improved using the evolutionary algorithm, and further improvement in the accuracy of the model by supplementing the evolutionary algorithm using quantum solutions, related to the initial population, crossover and mutation operators, selection, etc. were proposed.
- Źródło:
-
Information Systems in Management; 2017, 6, 4; 343-355
2084-5537
2544-1728 - Pojawia się w:
- Information Systems in Management
- Dostawca treści:
- Biblioteka Nauki
Artykuł