Quantum-inspired Artificil Neural Networks and Evolutionary Algorithms Methods Applied to Modeling of the Polish Electric Power Exchange Using the Day-ahead Market Data

• Autorzy: Jerzy Tchórzewski , Dariusz Ruciński
• Języki publikacji: EN

Abstrakty

EN

The paper presents selected results of research on the use of artificial intelligence methods, which are inspired by quantum computing solutions for modelling of electric power exchange systems. Methods used in the modelling of quantum data acquisition, quantization and dequantization of information as well as the methods of per-forming quantum computations were emphasized. Furthermore, we have analysed the results obtained for the neural model and for the evolutionary algorithm inspired by the quantum computer science. Eventually, the model was verified on the example of the neural model of the Electric Power Exchange (EPE). (original abstract)

Słowa kluczowe

EN

Electric power; MATLAB system; Genetic algorithms; Artificial neural networks method

PL

Energia elektryczna; System MATLAB; Algorytmy genetyczne; Metoda sztucznych sieci neuronowych

• Czasopismo: Information Systems in Management
• Rocznik: 2018
• Tom: 7
• Numer: nr 3
• Strony: 201--212

Twórcy

autor

Jerzy Tchórzewski

• Siedlce University of Natural Sciences and Humanities, Poland

autor

Dariusz Ruciński

• Siedlce University of Natural Sciences and Humanities, Poland

Bibliografia

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Identyfikatory

DOI

10.22630/ISIM.2018.7.3.18