Liu, M., Ding, L., & Bai, Y. (2021). Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction. Energy conversion and management, 233, 113917. https://doi.org/10.1016/j.enconman.2021.113917
Chicago Style (17th ed.) CitationLiu, Ming-De, Lin Ding, and Yu-Long Bai. "Application of Hybrid Model Based on Empirical Mode Decomposition, Novel Recurrent Neural Networks and the ARIMA to Wind Speed Prediction." Energy Conversion and Management 233 (2021): 113917. https://doi.org/10.1016/j.enconman.2021.113917.
MLA (9th ed.) CitationLiu, Ming-De, et al. "Application of Hybrid Model Based on Empirical Mode Decomposition, Novel Recurrent Neural Networks and the ARIMA to Wind Speed Prediction." Energy Conversion and Management, vol. 233, 2021, p. 113917, https://doi.org/10.1016/j.enconman.2021.113917.