Location intelligence in cogenerated heating potential data

• Autorzy: Karabegovic Almir , Ponjavic Mirza , Duic Neven , Novosel Tomislav

Identyfikatory

DOI

10.15439/2019F77

• Konferencja: Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

cogeneration; data analysis; data visualisation; geographic information system

PL

kogeneracja; analiza danych; wizualizacja danych; system informacji geograficznej

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 18
• Strony: 613--620
• Opis fizyczny: Bibliogr. 25 poz., tab., il.

Twórcy

autor

Karabegovic Almir

• University of Sarajevo, Faculty of Electrical Engineering, Kampus Univerziteta u Sarajevu, 71000 Sarajevo, BiH

autor

Ponjavic Mirza

• International Burch University, Sarajevo, Francuske revolucije bb, Ilidža 71210, Bosnia and Herzegovina

autor

Duic Neven

• University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Ivana Lučića 5, 10002 Zagreb, Croatia

autor

Novosel Tomislav

• North-West Croatia Regional Energy Agency, Andrije Zaje 10, 10000 Zagreb, Croatia

Bibliografia

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Uwagi

1. Track 4: Information Systems and Technology

2. Technical Session: 1st Workshop on Data Analysis and Computation for Digital Ecosystems

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).