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Pregled bibliografske jedinice broj: 632349

Towards an Auto-Associative Topology State Estimator

Krstulović, Jakov; Miranda, Vladimir; Simões Costa, Antonio; Pereira, Jorge
Towards an Auto-Associative Topology State Estimator // IEEE transactions on power systems, 28 (2013), 3; 3311-3318 doi:10.1109/TPWRS.2012.2236656 (međunarodna recenzija, članak, znanstveni)

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Naslov
Towards an Auto-Associative Topology State Estimator

Autori
Krstulović, Jakov ; Miranda, Vladimir ; Simões Costa, Antonio ; Pereira, Jorge

Izvornik
IEEE transactions on power systems (0885-8950) 28 (2013), 3; 3311-3318

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
autoencoders; neural networks; power system topology; state estimation

Sažetak
This paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto- associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Jakov Krstulović Opara (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Krstulović, Jakov; Miranda, Vladimir; Simões Costa, Antonio; Pereira, Jorge
Towards an Auto-Associative Topology State Estimator // IEEE transactions on power systems, 28 (2013), 3; 3311-3318 doi:10.1109/TPWRS.2012.2236656 (međunarodna recenzija, članak, znanstveni)
Krstulović, J., Miranda, V., Simões Costa, A. & Pereira, J. (2013) Towards an Auto-Associative Topology State Estimator. IEEE transactions on power systems, 28 (3), 3311-3318 doi:10.1109/TPWRS.2012.2236656.
@article{article, author = {Krstulovi\'{c}, Jakov and Miranda, Vladimir and Sim\~{o}es Costa, Antonio and Pereira, Jorge}, year = {2013}, pages = {3311-3318}, DOI = {10.1109/TPWRS.2012.2236656}, keywords = {autoencoders, neural networks, power system topology, state estimation}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2012.2236656}, volume = {28}, number = {3}, issn = {0885-8950}, title = {Towards an Auto-Associative Topology State Estimator}, keyword = {autoencoders, neural networks, power system topology, state estimation} }
@article{article, author = {Krstulovi\'{c}, Jakov and Miranda, Vladimir and Sim\~{o}es Costa, Antonio and Pereira, Jorge}, year = {2013}, pages = {3311-3318}, DOI = {10.1109/TPWRS.2012.2236656}, keywords = {autoencoders, neural networks, power system topology, state estimation}, journal = {IEEE transactions on power systems}, doi = {10.1109/TPWRS.2012.2236656}, volume = {28}, number = {3}, issn = {0885-8950}, title = {Towards an Auto-Associative Topology State Estimator}, keyword = {autoencoders, neural networks, power system topology, state estimation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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