Consumption Management Software for Electric Power Suppliers

Ana-Ramona Bologa (), Simona-Vasilica Oprea (), Adela Bara (), Florin-Constantin Ciobanu () and Osman Bulent Tor ()
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Ana-Ramona Bologa: The Bucharest University of Economic Studies, Romania
Simona-Vasilica Oprea: The Bucharest University of Economic Studies, Romania
Adela Bara: The Bucharest University of Economic Studies, Romania
Florin-Constantin Ciobanu: CEZ Romania
Osman Bulent Tor: EPRA, Engineering Procurement Research Analysis, Ankara, Turkey

Database Systems Journal, 2020, vol. 11, issue 2, 31-40

Abstract: The electricity market is a complex reality with numerous participants and rules, factors that influence the evolution of energy production and consumption. This paper presents a software solution that supports electric power suppliers as participants in this complex market. The prototype uses machine learning algorithms to determine consumer clusters and forecast the next day's consumption, with the purpose of flattening the consumption curve at the level of the electricity supplier. Based on the initial consumption planning of programmable devices transmitted by consumers, four consumption optimization algorithms are applied in parallel, giving the energy supplier the possibility to decide the optimal plan for the next day.

Keywords: power sector; software; power suppliers; forecast; optimization (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:11:y:2020:i:2:p:31-40

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