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Pregled bibliografske jedinice broj: 1070097

Business intelligence system for managing natural gas consumption of public buildings


Tonković, Zlatko; Mitrović, Saša; Zekić-Sušac, Marijana
Business intelligence system for managing natural gas consumption of public buildings // International Scientific Conference on Economic and Social Development – “Building Resilient Society” / Veselica, Rozana ; Dukic, Gordana ; Hammes, Khalid (ur.).
Zagreb: Varazdin Development and Entrepreneurship Agency, Varazdin, Croatia, 2018. str. 769-778 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1070097 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Business intelligence system for managing natural gas consumption of public buildings

Autori
Tonković, Zlatko ; Mitrović, Saša ; Zekić-Sušac, Marijana

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

Izvornik
International Scientific Conference on Economic and Social Development – “Building Resilient Society” / Veselica, Rozana ; Dukic, Gordana ; Hammes, Khalid - Zagreb : Varazdin Development and Entrepreneurship Agency, Varazdin, Croatia, 2018, 769-778

Skup
36th International Scientific Conference on Economic and Social Development – “Building Resilient Society” – EBS 2018

Mjesto i datum
Zagreb, Hrvatska, 14-15.12.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
intelligent model, machine learning methods, natural gas consumption, public buildings

Sažetak
The objective of this paper is to develop an intelligent model for managing natural gas consumption of public buildings using machine learning methods. The model is able to identify key predictors of natural gas consumption and while incorporated into a business intelligence system could provide an effective decision support for managers in public sector. Several machine learning methods based on decision trees were tested and the best model is suggested. The outcomes of this paper are expected to assist decision makers in Croatia in reducing natural gas consumption in public sector which is very important for the objectives of policy processes: strategies of energy development and national plans of energy efficiency in Croatia. Such intelligent system can be a powerful tool in decreasing expenditures of public sector and improving its efficiency.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
HRZZ-IP-2016-06-8350 - Metodološki okvir za učinkovito upravljanje energijom s pomoću inteligentne podatkovne analitike (MERIDA) (Zekić-Sušac, Marijana, HRZZ - 2016-06) ( POIROT)

Ustanove:
Ekonomski fakultet, Osijek,
Fakultet organizacije i informatike, Varaždin

Citiraj ovu publikaciju:

Tonković, Zlatko; Mitrović, Saša; Zekić-Sušac, Marijana
Business intelligence system for managing natural gas consumption of public buildings // International Scientific Conference on Economic and Social Development – “Building Resilient Society” / Veselica, Rozana ; Dukic, Gordana ; Hammes, Khalid (ur.).
Zagreb: Varazdin Development and Entrepreneurship Agency, Varazdin, Croatia, 2018. str. 769-778 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Tonković, Z., Mitrović, S. & Zekić-Sušac, M. (2018) Business intelligence system for managing natural gas consumption of public buildings. U: Veselica, R., Dukic, G. & Hammes, K. (ur.)International Scientific Conference on Economic and Social Development – “Building Resilient Society”.
@article{article, author = {Tonkovi\'{c}, Zlatko and Mitrovi\'{c}, Sa\v{s}a and Zeki\'{c}-Su\v{s}ac, Marijana}, year = {2018}, pages = {769-778}, keywords = {intelligent model, machine learning methods, natural gas consumption, public buildings}, title = {Business intelligence system for managing natural gas consumption of public buildings}, keyword = {intelligent model, machine learning methods, natural gas consumption, public buildings}, publisher = {Varazdin Development and Entrepreneurship Agency, Varazdin, Croatia}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Tonkovi\'{c}, Zlatko and Mitrovi\'{c}, Sa\v{s}a and Zeki\'{c}-Su\v{s}ac, Marijana}, year = {2018}, pages = {769-778}, keywords = {intelligent model, machine learning methods, natural gas consumption, public buildings}, title = {Business intelligence system for managing natural gas consumption of public buildings}, keyword = {intelligent model, machine learning methods, natural gas consumption, public buildings}, publisher = {Varazdin Development and Entrepreneurship Agency, Varazdin, Croatia}, publisherplace = {Zagreb, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Social Sciences & Humanities (CPCI-SSH)





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