Εμφάνιση απλής εγγραφής

dc.creatorAkram N., De Silva S., Foti M., Jayasinghe M., Dayarathna M., Vavalis M., Perera S.en
dc.date.accessioned2023-01-31T07:30:36Z
dc.date.available2023-01-31T07:30:36Z
dc.date.issued2017
dc.identifier10.1109/EEM.2017.7982012
dc.identifier.isbn9781509054992
dc.identifier.issn21654077
dc.identifier.urihttp://hdl.handle.net/11615/70347
dc.description.abstractThe 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.en
dc.language.isoenen
dc.sourceInternational Conference on the European Energy Market, EEMen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85027194059&doi=10.1109%2fEEM.2017.7982012&partnerID=40&md5=0483fb1e05e3e7c07a3fa34e464e9f55
dc.subjectCommerceen
dc.subjectComputer softwareen
dc.subjectEnginesen
dc.subjectGame theoryen
dc.subjectLearning systemsen
dc.subjectOpen source softwareen
dc.subjectOpen systemsen
dc.subjectPower marketsen
dc.subjectLarge scale dataen
dc.subjectOpen architectureen
dc.subjectPower distribution gridsen
dc.subjectReal-time dataen
dc.subjectSimulation engineen
dc.subjectSmart applicationsen
dc.subjectSoftware systemsen
dc.subjectState of the arten
dc.subjectElectric power transmission networksen
dc.subjectIEEE Computer Societyen
dc.titleReal time data analytics platform for power grid smart applicationsen
dc.typeconferenceItemen


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