An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study
Algorithms; Big data; Feedforward neural networks; Forecasting; Neural networks; Signal processing; Speed; Statistical tests; Time series; Wind; Wind power; Auto-correlation factors; Forecasting accuracy; Forecasting performance; Inverse wavelet transforms; Neural network predictions; Short-term win...
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2023
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my.uniten.dspace-228442023-05-29T14:12:40Z An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study Yousefi M. Hooshyar D. Yousefi M. Khaksar W. Sahari K.S.M. Alnaimi F.B.I. 53985756300 56572940600 55247052200 54960984900 57218170038 58027086700 Algorithms; Big data; Feedforward neural networks; Forecasting; Neural networks; Signal processing; Speed; Statistical tests; Time series; Wind; Wind power; Auto-correlation factors; Forecasting accuracy; Forecasting performance; Inverse wavelet transforms; Neural network predictions; Short-term wind speed forecasting; Trial-and-error process; Wind speed forecasting; Wavelet transforms Given the importance of an accurate wind speed forecasting for efficient utilization of wind farms, and the volatile nature of wind speed data including its non-linear and uncertain nature, the wind speed forecasting has remained an active field of research. In this study, the non-linearity of wind speed is tackled using artificial neural network and its uncertainty by wavelet transform. To avoid trial-and-error process for selection the ANN structure, the results of auto correlation factor (ACF) and partial auto correlation factor (PACF) on the historical wind speed data are employed. Instead of forecasting the time series directly, a set of better-behaved components of the data is achieved by decomposing the data using wavelet transform and are forecasted separately using a feedforward neural network. Finally, using an inverse wavelet transform, the future time series is reconstructed and the wind speed could be forecasted. The historical hourly wind speed from ABEI weather station in Idaho, United States is used for assessing the performance of the proposed algorithm. This data set is merely selected due to its availability. The data is divided to three parts of 50%, 25% and 25% for training, testing and validation respectively. The testing part of data set will be merely used for assessing the performance of the neural network which guarantees that only unseen data is used to evaluate the forecasting performance of the network. On the other hand, validation data could be used for parameter-setting of the network if required. The results shows that using wavelet transform can enhance the forecasting accuracy when it is compared with a regular neural network prediction algorithm. � 2015 IEEE. Final 2023-05-29T06:12:39Z 2023-05-29T06:12:39Z 2016 Conference Paper 10.1109/ICSITech.2015.7407784 2-s2.0-84966508437 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966508437&doi=10.1109%2fICSITech.2015.7407784&partnerID=40&md5=61c4c75cc73eba3dc22a54b54f0f3c5a https://irepository.uniten.edu.my/handle/123456789/22844 7407784 95 99 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Algorithms; Big data; Feedforward neural networks; Forecasting; Neural networks; Signal processing; Speed; Statistical tests; Time series; Wind; Wind power; Auto-correlation factors; Forecasting accuracy; Forecasting performance; Inverse wavelet transforms; Neural network predictions; Short-term wind speed forecasting; Trial-and-error process; Wind speed forecasting; Wavelet transforms |
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53985756300 |
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53985756300 Yousefi M. Hooshyar D. Yousefi M. Khaksar W. Sahari K.S.M. Alnaimi F.B.I. |
| format |
Conference Paper |
| author |
Yousefi M. Hooshyar D. Yousefi M. Khaksar W. Sahari K.S.M. Alnaimi F.B.I. |
| spellingShingle |
Yousefi M. Hooshyar D. Yousefi M. Khaksar W. Sahari K.S.M. Alnaimi F.B.I. An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study |
| author_sort |
Yousefi M. |
| title |
An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study |
| title_short |
An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study |
| title_full |
An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study |
| title_fullStr |
An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study |
| title_full_unstemmed |
An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study |
| title_sort |
artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: a preliminary case study |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806427783132348416 |
| score |
13.214268 |