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Wyświetlanie 1-2 z 2
Tytuł:
Wi-Fi networks in small and medium-sized businesses (SMB)
Autorzy:
Sojak, M.
Głowacki, S.
Powiązania:
https://bibliotekanauki.pl/articles/93013.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
Wi-Fi
wireless network
small business
medium business
IEEE 802.11
IEEE 802.15
IEEE 802.16 standard
WLAN
wireless local area network
Opis:
Wi-Fi is quite a new technology on the market. This paper’s aim was to prove the justifiability and profitability of this technology use in the small and medium-sized businesses sector. Advantages and disadvantages of this kind of network were also shown. An issue connected with data and configuration elements security was also raised. Other wireless technologies were also presented.
Źródło:
Studia Informatica : systems and information technology; 2009, 1(12); 55-65
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative Study of the Identification Methods of the Management System of the Day-Ahead Market of Polish Energy Market S.A.
Autorzy:
Marlęga, Radosław
Powiązania:
https://bibliotekanauki.pl/articles/2052421.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
Tematy:
artificial neural network
business intelligence
day ahead market
Identification methods
information system in management
parametrical model
Polish Energy Market
Opis:
Nowadays, identification and neural methods are used more and more often in modeling IT forecasting systems in addition to analytical methods. Six characteristic models used to forecast the Day- Ahead Market system functioning as a transaction management system at the Polish Power Exchange (POLPX) and the Nord Pool Spot market have been selected for comparative analysis. The research was preceded by a detailed discussion of modern criteria used to assess the quality of model fitting to the system, namely: effectiveness, efficiency, and robustness. In the literature, there are two main groups of system modeling methods, namely time series modeling methods and identification modeling methods, including neural modeling methods. Modeling usually results in such models as parametric models and artificial neural networks learned neural models of the Day-Ahead Market, as well as time series models, among others. In the comparative analysis, special attention was paid to the accuracy of the obtained models concerning the system. It has been pointed out that the studied solutions used to measure the accuracy of modeling criteria such as accuracy of fit or efficiency, and did not use the modeling efficiency, which is very important in IT forecasting systems for such large markets as the Day-Ahead Market of POLPX. The search for the best market models, including identification models of the Day- Ahead Market operation that can be used in electricity price forecasting is a very important issue both from the point of view of algorithmic solutions and economical solutions.
Źródło:
Studia Informatica : systems and information technology; 2021, 1-2(25); 67-86
1731-2264
Pojawia się w:
Studia Informatica : systems and information technology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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