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Pregled bibliografske jedinice broj: 895588

Predicting Natural Gas Consumption – A Literature Review


Šebalj, Dario; Mesarić, Josip; Dujak, Davor
Predicting Natural Gas Consumption – A Literature Review // Proceedings of the Central European Conference on Information and Intelligent Systems / Strahonja, Vjeran ; Kirinić, Valentina (ur.).
Varaždin: Faculty of Organization and Informatics, 2017. str. 293-300 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Predicting Natural Gas Consumption – A Literature Review

Autori
Šebalj, Dario ; Mesarić, Josip ; Dujak, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Central European Conference on Information and Intelligent Systems / Strahonja, Vjeran ; Kirinić, Valentina - Varaždin : Faculty of Organization and Informatics, 2017, 293-300

Skup
28th International Conference "Central European Conference on Information and Intelligent Systems"

Mjesto i datum
Varaždin, Hrvatska, 27-29.09.2017.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Natural gas ; prediction models ; energy ; literature review

Sažetak
Natural gas is considered to be one of the most important energy sources. Due to its many advantages, demand for this energy source has increased considerably. Many authors tried to develop models for predicting natural gas consumption. The aim of this paper is to present an overview and systematic analysis of the latest research papers that deal with predictions of natural gas consumption from the year 2002 to 2017. In this paper, prediction methods, input variables used for modelling, prediction area, as well as prediction horizon will be analysed. This research could be helpful for other researchers in order to create better and more accurate prediction models.

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo, Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2016-06-8350 - Metodološki okvir za učinkovito upravljanje energijom s pomoću inteligentne podatkovne analitike (Marijana Zekić-Sušac, )

Ustanove
Ekonomski fakultet, Osijek