Naturally weighted measurement data in power grid – measurement data in Fourier domain
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The latest development of stochastic digital measurement method allows extremely simple measurement of Fourier coefficients and, thus, the harmonic amplitudes: the natural weights of the measurement data in Fourier domain. The significance of each measurement data is defined by its weight, which allows the optimization of data recording, data analysis and artificial neural network training in a power grid.
Keywords:
Fourier coefficients / stochastic digital measurementsSource:
IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program, 2018Publisher:
- ETRAN
Funding / projects:
- Measurements in a smart grid concept (RS-32019)
URI
https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdfhttps://dais.sanu.ac.rs/123456789/4633
Institution/Community
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - CONF AU - Vujičić, Vladimir AU - Radonjić, Aleksandar AU - Sovilj, Platon PY - 2018 UR - https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3%20(1).pdf UR - https://dais.sanu.ac.rs/123456789/4633 AB - The latest development of stochastic digital measurement method allows extremely simple measurement of Fourier coefficients and, thus, the harmonic amplitudes: the natural weights of the measurement data in Fourier domain. The significance of each measurement data is defined by its weight, which allows the optimization of data recording, data analysis and artificial neural network training in a power grid. PB - ETRAN C3 - IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program T1 - Naturally weighted measurement data in power grid – measurement data in Fourier domain UR - https://hdl.handle.net/21.15107/rcub_dais_4633 ER -
@conference{ author = "Vujičić, Vladimir and Radonjić, Aleksandar and Sovilj, Platon", year = "2018", abstract = "The latest development of stochastic digital measurement method allows extremely simple measurement of Fourier coefficients and, thus, the harmonic amplitudes: the natural weights of the measurement data in Fourier domain. The significance of each measurement data is defined by its weight, which allows the optimization of data recording, data analysis and artificial neural network training in a power grid.", publisher = "ETRAN", journal = "IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program", title = "Naturally weighted measurement data in power grid – measurement data in Fourier domain", url = "https://hdl.handle.net/21.15107/rcub_dais_4633" }
Vujičić, V., Radonjić, A.,& Sovilj, P.. (2018). Naturally weighted measurement data in power grid – measurement data in Fourier domain. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program ETRAN.. https://hdl.handle.net/21.15107/rcub_dais_4633
Vujičić V, Radonjić A, Sovilj P. Naturally weighted measurement data in power grid – measurement data in Fourier domain. in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program. 2018;. https://hdl.handle.net/21.15107/rcub_dais_4633 .
Vujičić, Vladimir, Radonjić, Aleksandar, Sovilj, Platon, "Naturally weighted measurement data in power grid – measurement data in Fourier domain" in IcETRAN & ETRAN 2018, Palić 11-14. 06. 2018: Program (2018), https://hdl.handle.net/21.15107/rcub_dais_4633 .