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Pregled bibliografske jedinice broj: 1054418

Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities

Zekić-Sušac Marijana; Mitrović Saša : Has Adela
Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities // International journal of information management, 50 (2020), 102074, 12 doi:10.1016/j.ijinfomgt.2020.102074 (međunarodna recenzija, članak, znanstveni)

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Naslov
Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities

Autori
Zekić-Sušac Marijana ; Mitrović Saša : Has Adela

Izvornik
International journal of information management (0268-4012) 50 (2020); 102074, 12

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Planning models ; Energy efficiency ; Machine learning ; Public sector ; Smart cities

Sažetak
This paper aims to answer the question ofhow to incorporate Big Data platform and machine learning into an intelligent system for managing energyefficiency of public sector as a substantial part of the smart city concept.

Izvorni jezik
Engleski



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) ( CroRIS)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com www.sciencedirect.com

Citiraj ovu publikaciju:

Zekić-Sušac Marijana; Mitrović Saša : Has Adela
Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities // International journal of information management, 50 (2020), 102074, 12 doi:10.1016/j.ijinfomgt.2020.102074 (međunarodna recenzija, članak, znanstveni)
Zekić-Sušac Marijana & Mitrović Saša : Has Adela (2020) Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities. International journal of information management, 50, 102074, 12 doi:10.1016/j.ijinfomgt.2020.102074.
@article{article, year = {2020}, pages = {12}, DOI = {10.1016/j.ijinfomgt.2020.102074}, chapter = {102074}, keywords = {Planning models, Energy efficiency, Machine learning, Public sector, Smart cities}, journal = {International journal of information management}, doi = {10.1016/j.ijinfomgt.2020.102074}, volume = {50}, issn = {0268-4012}, title = {Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities}, keyword = {Planning models, Energy efficiency, Machine learning, Public sector, Smart cities}, chapternumber = {102074} }
@article{article, year = {2020}, pages = {12}, DOI = {10.1016/j.ijinfomgt.2020.102074}, chapter = {102074}, keywords = {Planning models, Energy efficiency, Machine learning, Public sector, Smart cities}, journal = {International journal of information management}, doi = {10.1016/j.ijinfomgt.2020.102074}, volume = {50}, issn = {0268-4012}, title = {Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities}, keyword = {Planning models, Energy efficiency, Machine learning, Public sector, Smart cities}, chapternumber = {102074} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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