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000916722 0247_ $$2doi$$a10.1109/AMPS55790.2022.9978880
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000916722 1001_ $$0P:(DE-Juel1)186779$$aCarta, Daniele$$b0$$eCorresponding author$$ufzj
000916722 1112_ $$a2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)$$cCagliari$$d2022-09-28 - 2022-09-30$$wItaly
000916722 245__ $$aBad Data Detection and Handling in ICT Platforms for Energy Systems
000916722 260__ $$bIEEE$$c2022
000916722 29510 $$a2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS) : [Proceedings] - IEEE, 2022. - ISBN 978-1-6654-7034-6 - doi:10.1109/AMPS55790.2022.9978880
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000916722 520__ $$aIn 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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000916722 7001_ $$0P:(DE-Juel1)185033$$aZimmer, Marcel$$b1$$ufzj
000916722 7001_ $$0P:(DE-Juel1)142000$$aPesch, Thiemo$$b2$$ufzj
000916722 7001_ $$0P:(DE-Juel1)179029$$aBenigni, Andrea$$b3$$ufzj
000916722 773__ $$a10.1109/AMPS55790.2022.9978880
000916722 8564_ $$uhttps://ieeexplore.ieee.org/abstract/document/9978880
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