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Location Intelligence in Cogenerated Heating Potential Data Analysis (CROSBI ID 683902)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Karabegović, Almir ; Ponjavić, Mirza ; Duić, Neven ; Novosel ; Tomislav Location Intelligence in Cogenerated Heating Potential Data Analysis // Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019. 2019. str. 613-620 doi: 10.15439/2019F77

Podaci o odgovornosti

Karabegović, Almir ; Ponjavić, Mirza ; Duić, Neven ; Novosel ; Tomislav

engleski

Location Intelligence in Cogenerated Heating Potential Data Analysis

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

Cogenerated heating ; Cogenerated cooling ; Potential data analysis ; location intelligence ;

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Podaci o prilogu

613-620.

2019.

objavljeno

10.15439/2019F77

Podaci o matičnoj publikaciji

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019

2300-5963

Podaci o skupu

2019 Federated Conference on Computer Science and Information Systems (FedCSIS 2019)

predavanje

01.09.2019-04.09.2019

Leipzig, Njemačka

Povezanost rada

Strojarstvo

Poveznice