Selection of the programming environment for neural modelling of the power and electricity demand generation systems in terms of unmanned factories

• Autorzy: Tchórzewski Jerzy , Rosochacki Sebastian

Identyfikatory

DOI

10.34739/si.2023.29.07

• Języki publikacji: EN

Abstrakty

EN

The work concerns the selection of the programming language and environment for the needs of neural modeling of the power and electricity demand generation system in terms of uninhabited factories. Therefore, the main goal of the conducted research is to obtain the best possible Artificial Neural Network, i.e. to teach it a model of a real system, which is a system for generating demand for power and electricity based on numerical data on parts of the power system operation in terms of uninhabited factories. The learning capabilities of artificial neural networks were checked by comparing the MSE error and the Regression Index R2. In each of the examined programming languages and related programming environments, i.e. Matlab, Python and Wolfram, an Artificial Neural Network with the same structure and properties was designed and implemented, i.e. with the same number of input and output neurons, the number of hidden layers and the number of neurons in them, the activation function of neurons and the learning method. In addition to the ANN training of the system model, testing and validation as well as comparative studies were carried out.

Słowa kluczowe

EN

National Power System; MATLAB; Simulink; Python; Artificial Neural Network; Wolfram Mathematica

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2023
• Tom: Vol. 2(29)
• Strony: 95--106
• Opis fizyczny: Bibliogr. 42 poz., tab., wykr.

Twórcy

autor

Tchórzewski Jerzy

• University of Siedlce, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0000-0003-2198-7185

autor

Rosochacki Sebastian

• University of Siedlce, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland

• https://orcid.org/0009-0006-3514-0005

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