Cognitive Based Electric Power Management System

Year 2022, Volume: 10 Issue: 1, 85 - 90, 30.01.2022

T. Çetin Akıncı , Alfredo A. Martinez-morales

https://doi.org/10.17694/bajece.1060998

Cited By: 4

Abstract

An electric power network can be evolved into smart grids, which are measured by providing energy efficiency and improving the available resources. With the development of software and hardware elements, the decision-making mechanism of existing smart grids is transformed into more robust uninterrupted and economical energy management systems. In this study, a cognitive-based algorithm using dynamic energy management flexibility, storage and energy management algorithm and cloud computing architecture is proposed. Using this approach, an uninterrupted and economical energy management system can be planned. In addition, the proposed approach provides the optimization of supply and demand sides.

Keywords

Cognitive Management, Electric Power Price Management System, Cognitive Network System, Cognitive Network System, Electric Power Price Management System Cognitive Network System

Supporting Institution

Tübitak

Project Number

1059B192001347

Thanks

This study was supported by TUBITAK (The Scientific and Technological Research Council of Turkey) 2219-International Postdoctoral Research Scholarship Program, with project number 1059B192001347 in the 2020/2 application period. The authors would like to thank TÜBİTAK for their support.

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