Pregled bibliografske jedinice broj: 1033117
Location Intelligence in Cogenerated Heating Potential Data Analysis
Location Intelligence in Cogenerated Heating Potential Data Analysis // Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
Leipzig, Njemačka, 2019. str. 613-620 doi:10.15439/2019F77 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1033117 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Location Intelligence in Cogenerated Heating Potential Data Analysis
Autori
Karabegović, Almir ; Ponjavić, Mirza ; Duić, Neven ; Novosel ; Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
/ - , 2019, 613-620
Skup
2019 Federated Conference on Computer Science and Information Systems (FedCSIS 2019)
Mjesto i datum
Leipzig, Njemačka, 01.09.2019. - 04.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cogenerated heating ; Cogenerated cooling ; Potential data analysis ; location intelligence ;
Sažetak
Different methodologies are used to assess the potential for using high efficiency cogeneration for cooling and heating. They are mostly adapted to the availability of data and tools for their analytical processing. This paper presents the approach applying location intelligence as a tool that allows using geospatial analysis algorithms and geovisualization of its results. Due to the extremely large amount of data and the dependence of the results on their accuracy and the level of aggregation, the initial methodology of the analytical process implied two steps: wide scale mapping by the "top down" method, and local mapping by “bottom up” method. However, in order to overcome the problem of regional disparities of quality and the existence of spatial data, certain adaptations of the initial methodology have been made considering the need for a single analytical approach for the entire area of interest. Randomized control of the obtained results indicate that applied geospatial algorithms satisfy the required level of accuracy and reliability of the final methodology
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
120-1201918-1920 - Racionalno skladištenje energije za održivi razvoj energetike (Duić, Neven, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Neven Duić
(autor)