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Quantum-inspired method of neural modeling of the day-ahead market of the Polish electricity exchange

Open Access
|Jun 2022

Abstract

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.

DOI: https://doi.org/10.2478/candc-2021-0023 | Journal eISSN: 2720-4278 | Journal ISSN: 0324-8569
Language: English
Page range: 383 - 399
Submitted on: Oct 1, 2020
Accepted on: Feb 1, 2021
Published on: Jun 27, 2022
Published by: Systems Research Institute Polish Academy of Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2022 Jerzy Tchórzewsk, Dariusz Ruciński, published by Systems Research Institute Polish Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.