- Tytuł:
- Quantum-inspired method of neural modeling of the day-ahead market of the Polish electricity exchange
- Autorzy:
-
Tchórzewski, Jerzy
Ruciński, Dariusz - Powiązania:
- https://bibliotekanauki.pl/articles/2183468.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
artificial neural networks
day-ahead market
dequantization with ANN
neural modeling
quantum inspired method
quantum computing
Polish Electricity Exchange
system quantization - Opis:
- The paper presents selected elements of a modelling methodology involving quantization, quantum calculations and dequantization on the example of the neural model of the Day-Ahead Market of the Polish Electricity Exchange. Based on the fundamental assumptions of quantum computing, a new method has been proposed here of converting the real numbers in decimal notation into quantum mixed numbers using the probability modules of quantum mixed number and the principle of superposition, along with a new method of quantum calculations using linear algebra and vectormatrix calculus, and the Artificial Neural Network was taught accordingly. Dequantization of quantum mixed numbers to real numbers in decimal notation using the new method of dequantization has been proposed as well. The operation of the methods introduced was shown on numerical examples.
- Źródło:
-
Control and Cybernetics; 2021, 50, 3; 383--399
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł