Pregled bibliografske jedinice broj: 515300
A comparison of traditional forecasting methods for short-term and long-term prediction of faults in the broadband networks
A comparison of traditional forecasting methods for short-term and long-term prediction of faults in the broadband networks // Proceedings of 34th international convention on information and communication technology, electronics and microelectronics - MIPRO 2011, CTI
Opatija, Hrvatska, 2011. str. 269-274 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 515300 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A comparison of traditional forecasting methods for short-term and long-term prediction of faults in the broadband networks
Autori
Željko Deljac ; Marijan Kunštić ; Boris Spahija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 34th international convention on information and communication technology, electronics and microelectronics - MIPRO 2011, CTI
/ - , 2011, 269-274
ISBN
978-953-233-061-8
Skup
MIPRO 2011
Mjesto i datum
Opatija, Hrvatska, 23.05.2011. - 27.05.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Forecasting; Faults; Broadband telecommunication networks
Sažetak
Abstract – In this paper we analyze different traditional forecasting methods for prediction of the expected number of faults in broadband telecommunication networks. The dataset consists of over 1 million measured values, collected in recent years. A lot of factors, both in the network and outside the network, contribute to the formation of faults. Therefore, the faults occurring can be considered as a nonlinear time series. A comparison of autoregressive models and conditional heteroscedastic models is presented for short-term and long-term prediction of appearance of faults. Assessment of the accuracy of tested models is made by comparing the results obtained by modeling and the actual data. We are trying to find the best candidates for the analysis and forecasting of faults occurring.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marijan Kunštić
(autor)