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Supply chain intelligence for electricity markets: A smart grid perspective

Author

Listed:
  • Jelena Lukić

    (Public Enterprise Elektromreža Srbije)

  • Miloš Radenković

    (Union University)

  • Marijana Despotović-Zrakić

    (University of Belgrade)

  • Aleksandra Labus

    (University of Belgrade)

  • Zorica Bogdanović

    (University of Belgrade)

Abstract

Smart grid technologies are bringing innovations in electrical power industries, affecting all parts of the electricity supply chain, and leading to changes in market structure, business models and services. In this paper we introduce a model of business intelligence for a smart grid supply chain. The model is developed in order to provide electricity markets with the necessary data flows and information important for the decision making process. The proposed model offers a way to efficiently leverage the new metering architecture and the new capabilities of the grid to reap immediate business value from the huge amounts of disparate data in emerging smart grids. The model was evaluated for the Serbian electricity market in the electric power transmission company Public Enterprise “Elektromreža Srbije”. The results show that business intelligence solutions can contribute to a more effective management of smart grids, in order to ensure that companies achieve sustainability in the increasingly competitive electricity markets, while still providing the high quality services to end users.

Suggested Citation

  • Jelena Lukić & Miloš Radenković & Marijana Despotović-Zrakić & Aleksandra Labus & Zorica Bogdanović, 2017. "Supply chain intelligence for electricity markets: A smart grid perspective," Information Systems Frontiers, Springer, vol. 19(1), pages 91-107, February.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:1:d:10.1007_s10796-015-9592-z
    DOI: 10.1007/s10796-015-9592-z
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    References listed on IDEAS

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    Cited by:

    1. Shivam Gupta & Vinayak A. Drave & Surajit Bag & Zongwei Luo, 2019. "Leveraging Smart Supply Chain and Information System Agility for Supply Chain Flexibility," Information Systems Frontiers, Springer, vol. 21(3), pages 547-564, June.
    2. Rodgers, Waymond & Cardenas, Jesus A. & Gemoets, Leopoldo A. & Sarfi, Robert J., 2023. "A smart grids knowledge transfer paradigm supported by experts' throughput modeling artificial intelligence algorithmic processes," Technological Forecasting and Social Change, Elsevier, vol. 190(C).

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