Modelling of wind turbine power output by using ANNs and ANFIS techniques
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Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, artificial neural network (ANN) and adaptive neuro fuzzy inference system (ANFIS) were applied to estimate the wind turbine power output of a horizontal axis wind turbine. Hub-height wind speed, atmospheric air temperature and rotational speed values obtained from an operating wind power plant (WPP) were employed as input data in the model. According to the derived results, the mean absolute percentage error (MAPE) and correlation coefficient (R) values for the ANN model were determined as 4.41% and 0.9850, respectively, whereas the corresponding values for the ANFIS model were found as 2.19% and 0.9971, respectively. The obtained results showed that ANN and ANFIS models can be used to predict wind turbine power output in a simple, reliable and accurate way. © 2017 IEEE.
Açıklama
7th International Conference on Innovative Computing Technology, INTECH 2017 -- 16 August 2017 through 18 August 2017 -- Luton -- 132346
Anahtar Kelimeler
Adaptive Neuro Fuzzy Inference System, Artificial Neural Network, Modelling, Wind Power
Kaynak
7th International Conference on Innovative Computing Technology, INTECH 2017
