Wyniki wyszukiwania - BazTech

1

The impact of the size of the training set on the predictive abilities of neural models on the example of the Day-Ahead Market System of TGE S.A.

Ruciński Dariusz

Studia Informatica : systems and information technology

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2022

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Vol. 1(26)

5--22

EN

The main object of the research was to examine the acceptable time horizon that could be predicted by previously learned models of the Day-Ahead Market (DAM) TGE S.A. system. The article contains the results of research on the predicting ability of different ANN models of the DAM TGE S.A. The research was conducted based on data covering the operation of the Polish stock exchange in the period from 2002 to 2019 (the first half of the year). The research was carried out based on the learned ANN models of the DAM system. Data were taken for examination covering the time from 2002 to 2019 (1st half of the year) and was divided into a different period, i.e., a month, a quarter, and a half-year., year, etc. The MSE, MAE, MAPE, and R2 were adopted as the criteria for assessing the ability of individual models to predict electricity prices. The research was carried out by successively expanding forecasting periods in a rolling manner. For example, for a half-year, prediction time intervals were increased from one week to month, two months, quarter, half-year, etc. results for a model representing a given period. A lot of interesting research results were obtained.

2

Neural model of human gait and its implementation in MATLAB and Simulink Environment using Deep Learning Toolbox

Tchórzewski Jerzy, Wielgo Arkadiusz

Studia Informatica : systems and information technology

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2021

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Vol. 1-2(25)

39--65

EN

The article presents selected results of research on the modeling of humanoid robots, including the results of neural modeling of human gait and its implementation in the environment MATLAB and Simulink with the use of Deep Learning Toolbox. The subject of the research was placed within the scope of the available literature on the subject. Then, appropriate research experiments on human movement along a given trajectory were developed. First, the method of measuring the parameters present in the experiment was established, i.e. input quantities (displacement of the left heel, displacement of the right heel) and output quantities (displacement of the measurement point of the human body in space). Then, research experiments were carried out, as a result of which numerical data were measured in order to use them for teaching and testing the Artificial Neural Network. The Perceptron Artificial Neural Network architecture was used to build a model of a neural human walk along a given trajectory. The obtained results were discussed and interpreted, drawing a number of important conclusions.

3

Wnioskowanie statystyczne wartości składowych wskaźnika oceny rozmieszczenia elementów aktywnych rejonowego systemu bezpieczeństwa

Kołodziński E., Zapert P.

Inżynieria Bezpieczeństwa Obiektów Antropogenicznych

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2018

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Nr 3-4

9--20

EN

Elaboration discusses the issue of computer support for optimising the deployment of active elements of an Domain Security System. It presents method of determining values of index of quality evaluation of the deployment in case of statistic reasoning using J2EE application based on MATLAB. An example task of optimising the deployment of active elements protecting two entities has been formulated and solved using developed application.

PL

W pracy rozpatrzono zagadnienie komputerowego wspomagania optymalizacji dyslokacji elementów aktywnych Dziedzinowego Systemu Bezpieczeństwa (DSB). Przedstawiono metodę wyznaczania wartości wskaźnika oceny jakości dyslokacji w przypadku wnioskowania statystycznego za pomocą aplikacji J2EE wykorzystującej środowisko MATLAB. Sformułowano przykładowe zadanie optymalizacji dyslokacji elementów aktywnych ochraniających dwa podmioty i podano sposób jego rozwiązania za pomocą opracowanej aplikacji.

4

Simulation of the impact of the degree and type of shading on generation of electrical energy by the PV system in MATLAB&SIMULINK environment

Jarmuda T.

Computer Applications in Electrical Engineering

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2015

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Vol. 13

454--468

EN

In the study the method of modelling of the photovoltaic system (PV) in MATLAB & SIMULINK environment was presented along with test results of the impact of shading on the value of energy output from the photovoltaic system. The PV system model constructed of five parallel connected photovoltaic panels of TPSM6U type was proposed. Simulation tests were conducted considering the effect of poor and strong shading of panels causing differences in the density of the radiation power (irradiance) for individual panels and the PV system. The values of electrical energy generated by individual PV panels and the whole photovoltaic system were determined for the purposes of the actual forces. Optional switching on and off of the bypass diodes was considered in the photovoltaic panels. The tests were developed and final conclusions were formulated.

5

Modelowanie neuronalne rozwoju systemu elektroenergetycznego na bazie danych testowych IEEE RTS

Tchórzewski J., Roman P., Żurawski T.

Wiadomości Elektrotechniczne

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2014

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R. 82, nr 2

17--23

PL

Przedstawiono wybrane wyniki badań projektowania rozwoju systemu elektroenergetycznego za pomocą sztucznych sieci neuronowych.

EN

The paper presents selected results of research on designing the power electric system development using artificial neural networks.