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EnglishThe Event-Driven Metering (EDM) method for electricity enabled the detection and better understanding of variable energy-transforming processes from real life. This article generalizes the above-mentioned Lebesgue-based approach by translating it to the accounting of other energy vectors in the form of gases or liquids. Given the behavioral difference between the physical forms of vectors of energy, authors made an effort to keep newly proposed method compatible with the process knowledge being extracted and shared grid-wide by the EDM method previously declined to electricity. Authors exploit the symplectic properties deriving from the energy conservation law. Authors set up new compressive and sparse sensing method by moving from the point-like data to the segment-like entities remaining valid over longer finite time intervals.
Compressive Sensing with Sparse Reporting for Energy / Simonov, Mikhail; Zanetto, Gianluca; Chicco, Gianfranco. - CD-ROM. - (2016). ((Intervento presentato al convegno Second International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP 2016) tenutosi a Krakow, Poland nel 13-15 June 2016.
| Titolo: | Compressive Sensing with Sparse Reporting for Energy |
| Autori: | |
| Data di pubblicazione: | 2016 |
| Abstract: | The Event-Driven Metering (EDM) method for electricity enabled the detection and better understan...ding of variable energy-transforming processes from real life. This article generalizes the above-mentioned Lebesgue-based approach by translating it to the accounting of other energy vectors in the form of gases or liquids. Given the behavioral difference between the physical forms of vectors of energy, authors made an effort to keep newly proposed method compatible with the process knowledge being extracted and shared grid-wide by the EDM method previously declined to electricity. Authors exploit the symplectic properties deriving from the energy conservation law. Authors set up new compressive and sparse sensing method by moving from the point-like data to the segment-like entities remaining valid over longer finite time intervals. |
| ISBN: | 978-1-5090-4196-1 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Simonov_2016_07605083.pdf | Articolo principale | 2. Post-print / Author's Accepted Manuscript | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2666882
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