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EnglishThe large-scale deployment of pervasive sensors and decentralized computing in modern smart grids is expected to exponentially increase the volume of data exchanged by power system applications. In this context, the research for scalable, and flexible methodologies aimed at supporting rapid decisions in a data rich, but information limited environment represents a relevant issue to address. To this aim, this paper outlines the potential role of Knowledge Discovery from massive Datasets in smart grid computing, presenting the most recent activities developed in this field by the Task Force on 'Enabling Paradigms for High-Performance Computing in Wide Area Monitoring Protective and Control Systems' of the IEEE PSOPE Technologies and Innovation Subcommittee.
A review of the enabling methodologies for knowledge discovery from smart grids data / De Caro, F.; Andreotti, A.; Araneo, R.; Panella, M.; Vaccaro, A.; Villacci, D.. - (2020), pp. 1-6. ((Intervento presentato al convegno 2020 IEEE International conference on environment and electrical engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC. I and CPS Europe 2020 tenutosi a Madrid (virtual); Spain [10.1109/EEEIC/ICPSEurope49358.2020.9160678].
| Titolo: | A review of the enabling methodologies for knowledge discovery from smart grids data | |
| Autori: | ||
| Data di pubblicazione: | 2020 | |
| Citazione: | A review of the enabling methodologies for knowledge discovery from smart grids data / De Caro, F.; Andreotti, A.; Araneo, R.; Panella, M.; Vaccaro, A.; Villacci, D.. - (2020), pp. 1-6. ((Intervento presentato al convegno 2020 IEEE International conference on environment and electrical engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC. I and CPS Europe 2020 tenutosi a Madrid (virtual); Spain [10.1109/EEEIC/ICPSEurope49358.2020.9160678]. | |
| Handle: | http://hdl.handle.net/11573/1461017 | |
| ISBN: | 978-1-7281-7455-6 | |
| Appartiene alla tipologia: | 04b Atto di convegno in volume |
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| DeCaro_Review_2020.pdf | Versione editoriale (versione pubblicata con il layout dell'editore) | Tutti i diritti riservati (All rights reserved) | Administrator Richiedi una copia |
http://hdl.handle.net/11573/1461017
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