Pregled bibliografske jedinice broj: 1202112
CLUSTER ANALYSIS FOR PROFILING PUBLIC SECTOR BUILDINGS OF CONTINENTAL CROATIA AS A SUPPORT FOR REGIONAL DEVELOPMENT
CLUSTER ANALYSIS FOR PROFILING PUBLIC SECTOR BUILDINGS OF CONTINENTAL CROATIA AS A SUPPORT FOR REGIONAL DEVELOPMENT // RED 2022 Proceedings / Leko Šimić, Mirna (ur.).
Osijek: Faculty of Economics in Osijek, Croatia, 2022. str. 271-280 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
CLUSTER ANALYSIS FOR PROFILING PUBLIC SECTOR
BUILDINGS OF CONTINENTAL CROATIA AS A SUPPORT FOR
REGIONAL DEVELOPMENT
Autori
Hodak, Kristina ; Has, Adela ; Mokriš, Marinela
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
RED 2022 Proceedings
/ Leko Šimić, Mirna - Osijek : Faculty of Economics in Osijek, Croatia, 2022, 271-280
Skup
11th International Scientific Symposium Region Entrepreneurship Development (RED 2022)
Mjesto i datum
Osijek, Hrvatska, 09.06.2022. - 11.06.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Public sector buildings ; Cluster analysis ; Energy retrofit ; Entrepreneurial behaviour ; Regional development
Sažetak
Public sector buildings are significant energy consumer and therefore the subject of numerous national energy strategies and programs. In order to achieve the set goals of energy saving and rational energy consumption, institutions responsible for energy management have been established. Thus, an information system for energy management was introduced, which contains construction, energy, geospatial and other data on public buildings in Croatia. These data can be a valuable resource in the decision- making process and in creating public policies to increase energy efficiency. Therefore, the aim of this paper is to obtain profiles of public buildings of continental Croatia using the clustering method in order to provide an information base for the implementation of the necessary measures. Clustering of buildings according to the similarities of their characteristics will be used in future research, where models for predicting energy costs based on the above characteristics will be developed separately for each group of buildings. It is assumed that the models would be more accurate if they were built separately for each cluster. Building profiles based on real data could be a valuable tool for the government in making energy retrofit decisions for public sector buildings. Moreover, it could promote entrepreneurial behaviour in the public sector and regional development of continental Croatia.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Osijek,
Fakultet organizacije i informatike, Varaždin