Funder
Postdoctoral Innovation Project of Shandong Province
Social Science Planning Project of Shandong Province
National Natural Science Foundation of China
Ministry of Education of the People's Republic of China
Ministry of Education of the People's Republic of China Humanities and Social Sciences Youth Foundation
Natural Science Foundation of Shandong Province
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference80 articles.
1. Hybrid approach combining SARIMA and neural networks for multi-step ahead wind speed forecasting in Brazil;Alencar;IEEE Access,2018
2. Barbounis, T. G., & Theocharis, J. B. Ã. (2007). A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation. 70, 1525–1542. https://doi.org/10.1016/j.neucom.2006.01.032.
3. The Combination of Forecasts;Bates;Essays in Econometrics,2010
4. Hybrid numerical models for wind speed forecasting;Brabec;Journal of Atmospheric and Solar - Terrestrial Physics,2021
5. Camelo, H. do N., Lucio, P. S., Leal Junior, J. B. V., Carvalho, P. C. M. de, & Santos, D. von G. dos. (2018). Innovative hybrid models for forecasting time series applied in wind generation based on the combination of time series models with artificial neural networks. Energy, 151(June 2017), 347–357. https://doi.org/10.1016/j.energy.2018.03.077.
Cited by
28 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献