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: Tchórzewski J. , Ruciński D.

Identyfikatory

DOI

10.22630/ISIM.2018.7.3.18

• 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 performing 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).

Słowa kluczowe

EN

artificial intelligence methods; MATLAB and Simulink environment; modeling of business intelligence process; quantum inspired method; smart electric power system; electric power exchange system

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Information Systems in Management
• Rocznik: 2018
• Tom: Vol. 7, No. 3
• Strony: 201--212
• Opis fizyczny: Bibliogr. 29 poz., wykr.

Twórcy

autor

Tchórzewski J.

• Department of Artificial Intelligence, Computer Science Institute, Faculty of Sciences, Siedlce University of Natural Sciences and Humanities

autor

Ruciński D.

• Department of Artificial Intelligence, Computer Science Institute, Faculty of Sciences, Siedlce University of Natural Sciences and Humanities

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).