Hauptseite > Publikationsdatenbank > Bad Data Detection and Handling in ICT Platforms for Energy Systems > print

001     916722
005     20240709082211.0
024 7 _ |a 10.1109/AMPS55790.2022.9978880
|2 doi
024 7 _ |a WOS:000907082200025
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037 _ _ |a FZJ-2023-00062
100 1 _ |a Carta, Daniele
|0 P:(DE-Juel1)186779
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|e Corresponding author
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111 2 _ |a 2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)
|c Cagliari
|d 2022-09-28 - 2022-09-30
|w Italy
245 _ _ |a Bad Data Detection and Handling in ICT Platforms for Energy Systems
260 _ _ |c 2022
|b IEEE
295 1 0 |a 2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS) : [Proceedings] - IEEE, 2022. - ISBN 978-1-6654-7034-6 - doi:10.1109/AMPS55790.2022.9978880
300 _ _ |a 1-6
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a book
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520 _ _ |a In this paper, we present a modular tool for bad data detection, handling and recovery in ICT platforms. The proposed tool can be easily applied to platforms with different structures to perform online and offline analysis aimed at monitoring the data quality, recovering bad data, and investigating the proper operation of the platform’s components. Firstly, the considered framework is introduced, then each module is described underlying its characteristics. Moreover, we present and discuss the results obtained by means of the recovery tool on a real test case.
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536 _ _ |a 1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112)
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588 _ _ |a Dataset connected to CrossRef Conference
700 1 _ |a Zimmer, Marcel
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700 1 _ |a Pesch, Thiemo
|0 P:(DE-Juel1)142000
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700 1 _ |a Benigni, Andrea
|0 P:(DE-Juel1)179029
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773 _ _ |a 10.1109/AMPS55790.2022.9978880
856 4 _ |u https://ieeexplore.ieee.org/abstract/document/9978880
909 C O |o oai:juser.fz-juelich.de:916722
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913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Energiesystemdesign (ESD)
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914 1 _ |y 2022
920 _ _ |l yes
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