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Real time data analytics platform for power grid smart applications

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Auteur
Akram N., De Silva S., Foti M., Jayasinghe M., Dayarathna M., Vavalis M., Perera S.
Date
2017
Language
en
DOI
10.1109/EEM.2017.7982012
Sujet
Commerce
Computer software
Engines
Game theory
Learning systems
Open source software
Open systems
Power markets
Large scale data
Open architecture
Power distribution grids
Real-time data
Simulation engine
Smart applications
Software systems
State of the art
Electric power transmission networks
IEEE Computer Society
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Résumé
The main objective of this paper is to elucidate issues that concern the integration of existing software systems and platforms into an open-source, open-architecture simulation engine that delivers large scale data analytics for the efficiency and stability of next generation power distribution grids. Our objective is achieved through the design and the implementation of a prototype simulation engine that couples state-of-the-art software from both the electrical engineering and information sciences. The effectiveness of our system is examined through two realistic large and detailed simulation scenarios which also involve machine learning and game theory. © 2017 IEEE.
URI
http://hdl.handle.net/11615/70347
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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