[1] B. Kanna and S. N. Singh, “AWNN-Assisted Wind Power Forecasting using Feed-Forward Neural Network,” IEEE Transactions on Sustainable Energy, Vol. 3, No. 2, pp. 306-315, 2012 [2] D. R. Chandra, M. S. Kumari, M. Sydulu, F. Grimaccia,M. Mussetta, “Adaptive Wavelet Neural Network based Wind Speed Forecasting Studies,” Journal of Electrical Engg & Technology, Vol. 9, No. 6, pp. 1812-1821, 2014 [3] J. P. S.Catalão, H. M. I. Pousinho, and V. M. F. Mendes, “Short-Term Wind Power Forecasting in Portugal by Neural Networks and Wavelet Transform,” Renewable Energy, Vol. 36, No. 4, pp. 1245-1251, 2011 [4] R. Ye, Z. Z. Guo, R. Y. Liu, and J. N. Liu, “Short-Term Wind Speed Forecasting Method based on Wavelet Packet Decomposition and Improved Elman Neural Network,” in Proceedings of IEEE 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), DOI:10.1109/PMAPS.2016.7764077, 2016 [5] R. Aquino, M. M. S.Lira, J. B. de Oliveira, M. A. Carvalho, O. N. Neto, and G. Almeida, “Application of Wavelet and Neural Network Models for Wind Speed and Power Generation Forecasting in a Brazilian Experimental Wind Park,” inProceedings of International Joint Conference on Neural Networks, pp. 172-178, USA, 2009 [6] D. L. Faria, R. Castro, C. Philippart, and A. Gusmão, “Wavelets Pre-Filtering in Wind Speed Prediction,” in Proceedings of IEEE 2009 International Conference on Power Engineering, Energy and Electrical Drives, pp. 168-173, 2009 [7] M. Madhiarasan and S. N. Deepa, “Performance Investigation of Six Artificial Neural Networks for Different Time Scale Wind Speed Forecasting in Three Wind Farms of Coimbatore Region,” International Journal of Innovation and Scientific Research, Vol. 23, No. 2, pp. 380-411, 2016 [8] R. Abhinav and N. M. Pindoriya, “Short-Term Wind Power Forecasting using Wavelet-based Neural Network,”Energy Procidia, Vol. 142, pp. 455-460, 2017 [9] A. Prasetyowati, H. Sudibyo, and D. Sudiana, “Wind Power Prediction by using Wavelet Decomposition Mode based NARX-Neural Network,” in Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence, Jakarta, Indonesia (CSAI 2017), pp. 275-278, 2017 [10] S. Saroha and S. K. Aggarwal, “Wind Power Forecasting using Wavelet Transforms and Neural Networks with Tapped Delay,” CSEE Journal of Power and Energy Systems, Vol. 4, No. 2, pp. 197-209, 2018 [11] W. Wei, G. Wu, M. H. Yang, Y. W. Zhang, S. X. Qiu,A. Sun, “Short-Term Forecasting for Wind Speed based on Wavelet Decomposition and LMBP Neural Network,” inProceedings of IEEE 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), pp. 1126-1131, 2011 [12] H. Liu, H. Q. Tian, C. Chen,Y. F. Li, “An Experimental Investigation of Two Wavelet-MLP Hybrid Frameworks for Wind Speed Prediction using GA and PSO Optimization,”International Journal of Electrical Power and Energy Systems, Vol. 52, pp. 161-173, 2013 [13] H. R.Maier and G. C. Dandy, “Determining Inputs for Neural Network Models of Multivariate Time Series,” Computer-Aided Civil and Infrastructure Engineering, Vol. 12, No. 5, pp. 353-368, 1997 [14] V. Prema, K. U. Rao, B. S. Jnaneswar, C. A. Badarish, P. S. Ashok,S. Agarwal, “Application of Hybrid Neuro-Wavelet Models for Effective Prediction of Wind Speed,” Intelligent Systems Technologies and Applications, Vol. 384, pp. 345-354, Springer International Publishing Switzerland, DOI: 10.1007/978-3-319-23036-8_30, 2016 [15] L. G. B.Ruiz, M. P. Cuéllar, M. D. Calvo-Flores, and M. D. C. P. Jiménez, “An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings,” Energies, Vol. 9, No. 684, pp. 1-21, 2016 [16] F. H. Pereira, F. E. Bezerra, S. Junior, J. Santos, I. Chabu, G. Souza, et al., “Nonlinear Autoregressive Neural Network Models for Prediction of Transformer Oil-Dissolved Gas Concentrations,” Energies, Vol. 11, No. 1691, pp. 1-12, 2018 [17] A. S. Shekhawat, “Wind Power Forecasting using Artificial Neural Networks,” International Journal of Engineering & Technology (IJERT), Vol. 3, No. 4, pp. 993-998, 2014 [18] C. Erasmo, R. Wilfrido, C. A. Rafael,C. Roberto, “Wind Speed Forecasting using the NARX Model, Case: La Mata, Oaxaca, Me´xico,” Springer Neural Computing and Applications, Vol. 27, No. 8, pp 2417-2428, 2015 [19] C. Erasmo, R. Wilfrido, C. A. Rafael,H. Christopher, “Wind Speed Prediction using a Univariate ARIMA Model and a Multivariate NARX Model,” Energies, Vol. 9, No. 109, pp. 1-15, 2016 |