Year 2018, Volume 5 , Issue 3, Pages 131 - 139 2018-12-13

The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network

Sakir Tasdemir [1] , Bulent Yaniktepe [2] , A.Burak Guher [3]


Artificial Neural Networks is the most used machine learning approach today. It is a very successful method in terms of accuracy and reliability. It is widely used in classification and estimation calculations. In order to achieve the desired performance a model created with ANN, a series of processes such as selection of network structure, learning algorithms, input and output values adjustment and transfer functions determination needs to be implemented in a sensitive manner. Multilayer Feedforward Backpropagation Network, which is used most frequently in supervised learning approaches, was considered in this study. The effect on the prediction performance of the developed model was investigated by using different statistical normalization methods on the data to be used in the network. For this purpose, 4-input 1-output artificial neural networks model were operated with wind-based data taken from Osmaniye Korkut Ata University measuring station. Wind speed, Wind Direction, Humidity and Density data are defined as input values while wind power was defined as output value. Input and output data are calculated with different normalization methods and more than one network models are designed with calculated values. As a result, the study showed that artificial neural networks model which is established by sigmoid normalization method has the best performance value.

Artificial Neural Network, Normalization, Wind Power, Back Propagation
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Primary Language en
Subjects Engineering, Multidisciplinary
Journal Section Research Article
Authors

Author: Sakir Tasdemir (Primary Author)
Institution: SELCUK UNIVERSITY, DEPARTMENT OF COMPUTER ENGINEERING
Country: Turkey


Author: Bulent Yaniktepe
Institution: OSMANİYE KORKUT ATA UNIVERSITY, DEPARTMENT OF ENERGY SYSTEMS ENGINEERING
Country: Turkey


Author: A.Burak Guher
Institution: OSMANİYE KORKUT ATA UNIVERSITY, DEPARTMENT OF INFORMATICS
Country: Turkey


Dates

Publication Date : December 13, 2018

Bibtex @research article { ijeat464210, journal = {International Journal of Energy Applications and Technologies}, issn = {}, eissn = {2548-060X}, address = {editor.ijeat@gmail.com}, publisher = {İlker ÖRS}, year = {2018}, volume = {5}, pages = {131 - 139}, doi = {10.31593/ijeat.464210}, title = {The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network}, key = {cite}, author = {Tasdemir, Sakir and Yaniktepe, Bulent and Guher, A.Burak} }
APA Tasdemir, S , Yaniktepe, B , Guher, A . (2018). The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network. International Journal of Energy Applications and Technologies , 5 (3) , 131-139 . DOI: 10.31593/ijeat.464210
MLA Tasdemir, S , Yaniktepe, B , Guher, A . "The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network". International Journal of Energy Applications and Technologies 5 (2018 ): 131-139 <https://dergipark.org.tr/en/pub/ijeat/issue/41119/464210>
Chicago Tasdemir, S , Yaniktepe, B , Guher, A . "The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network". International Journal of Energy Applications and Technologies 5 (2018 ): 131-139
RIS TY - JOUR T1 - The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network AU - Sakir Tasdemir , Bulent Yaniktepe , A.Burak Guher Y1 - 2018 PY - 2018 N1 - doi: 10.31593/ijeat.464210 DO - 10.31593/ijeat.464210 T2 - International Journal of Energy Applications and Technologies JF - Journal JO - JOR SP - 131 EP - 139 VL - 5 IS - 3 SN - -2548-060X M3 - doi: 10.31593/ijeat.464210 UR - https://doi.org/10.31593/ijeat.464210 Y2 - 2018 ER -
EndNote %0 International Journal of Energy Applications and Technologies The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network %A Sakir Tasdemir , Bulent Yaniktepe , A.Burak Guher %T The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network %D 2018 %J International Journal of Energy Applications and Technologies %P -2548-060X %V 5 %N 3 %R doi: 10.31593/ijeat.464210 %U 10.31593/ijeat.464210
ISNAD Tasdemir, Sakir , Yaniktepe, Bulent , Guher, A.Burak . "The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network". International Journal of Energy Applications and Technologies 5 / 3 (December 2018): 131-139 . https://doi.org/10.31593/ijeat.464210
AMA Tasdemir S , Yaniktepe B , Guher A . The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network. IJEAT. 2018; 5(3): 131-139.
Vancouver Tasdemir S , Yaniktepe B , Guher A . The effect on the wind power performance of different normalization methods by using multilayer feed-forward backpropagation neural network. International Journal of Energy Applications and Technologies. 2018; 5(3): 139-131.