Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms
Само за регистроване кориснике
2017
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Since the wind speed fluctuation could cause large instability in wind energy systems it is crucial to develop a method for precise estimation of the wind speed fluctuation. Fractal interpolation of the wind speed could be used to improve the accuracy of the estimation of the wind speed fluctuation. Based on the self-similarity feature, the fractal interpolation could be established from internal to external interval. In this article fractal interpolation was used to improve the wind speed fluctuation estimation by soft computing methods. Artificial neural network (ANN) with different training algorithms were used in order to estimate the wind speed fluctuation based on the fractal interpolation
Кључне речи:
wind speed / fractal interpolation / soft computing / predictionИзвор:
Flow Measurement and Instrumentation, 2017, 54, 172-176Издавач:
- Elsevier
DOI: 10.1016/j.flowmeasinst.2017.01.007
ISSN: 0955-5986
WoS: 000401377500017
Scopus: 2-s2.0-85010208986
Институција/група
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - JOUR AU - Petković, Dalibor AU - Nikolić, Vlastimir AU - Mitić, Vojislav V. AU - Kocić, Ljubiša PY - 2017 UR - https://dais.sanu.ac.rs/123456789/2372 AB - Since the wind speed fluctuation could cause large instability in wind energy systems it is crucial to develop a method for precise estimation of the wind speed fluctuation. Fractal interpolation of the wind speed could be used to improve the accuracy of the estimation of the wind speed fluctuation. Based on the self-similarity feature, the fractal interpolation could be established from internal to external interval. In this article fractal interpolation was used to improve the wind speed fluctuation estimation by soft computing methods. Artificial neural network (ANN) with different training algorithms were used in order to estimate the wind speed fluctuation based on the fractal interpolation PB - Elsevier T2 - Flow Measurement and Instrumentation T1 - Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms SP - 172 EP - 176 VL - 54 DO - 10.1016/j.flowmeasinst.2017.01.007 UR - https://hdl.handle.net/21.15107/rcub_dais_2372 ER -
@article{ author = "Petković, Dalibor and Nikolić, Vlastimir and Mitić, Vojislav V. and Kocić, Ljubiša", year = "2017", abstract = "Since the wind speed fluctuation could cause large instability in wind energy systems it is crucial to develop a method for precise estimation of the wind speed fluctuation. Fractal interpolation of the wind speed could be used to improve the accuracy of the estimation of the wind speed fluctuation. Based on the self-similarity feature, the fractal interpolation could be established from internal to external interval. In this article fractal interpolation was used to improve the wind speed fluctuation estimation by soft computing methods. Artificial neural network (ANN) with different training algorithms were used in order to estimate the wind speed fluctuation based on the fractal interpolation", publisher = "Elsevier", journal = "Flow Measurement and Instrumentation", title = "Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms", pages = "172-176", volume = "54", doi = "10.1016/j.flowmeasinst.2017.01.007", url = "https://hdl.handle.net/21.15107/rcub_dais_2372" }
Petković, D., Nikolić, V., Mitić, V. V.,& Kocić, L.. (2017). Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms. in Flow Measurement and Instrumentation Elsevier., 54, 172-176. https://doi.org/10.1016/j.flowmeasinst.2017.01.007 https://hdl.handle.net/21.15107/rcub_dais_2372
Petković D, Nikolić V, Mitić VV, Kocić L. Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms. in Flow Measurement and Instrumentation. 2017;54:172-176. doi:10.1016/j.flowmeasinst.2017.01.007 https://hdl.handle.net/21.15107/rcub_dais_2372 .
Petković, Dalibor, Nikolić, Vlastimir, Mitić, Vojislav V., Kocić, Ljubiša, "Estimation of fractal representation of wind speed fluctuation by artificial neural network with different training algorothms" in Flow Measurement and Instrumentation, 54 (2017):172-176, https://doi.org/10.1016/j.flowmeasinst.2017.01.007 ., https://hdl.handle.net/21.15107/rcub_dais_2372 .