Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework
出版年份 2021 全文链接
标题
Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework
作者
关键词
-
出版物
Frontiers in Energy Research
Volume 9, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2021-10-26
DOI
10.3389/fenrg.2021.780928
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Two-phase deep learning model for short-term wind direction forecasting
- (2021) Zhenhao Tang et al. RENEWABLE ENERGY
- Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery
- (2020) Jirong Yi et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Application of ICEEMDAN Energy Entropy and AFSA-SVM for Fault Diagnosis of Hoist Sheave Bearing
- (2020) Ziming Kou et al. Entropy
- Wind direction fluctuation analysis for wind turbines
- (2020) Peng Guo et al. RENEWABLE ENERGY
- Short-term wind speed forecasting using recurrent neural networks with error correction
- (2020) Jikai Duan et al. ENERGY
- An empirical adjusted ENSO ocean energetics framework based on observational wind power in the tropical Pacific
- (2019) Keri Kodama et al. CLIMATE DYNAMICS
- The multi-objective optimization of combustion system operations based on deep data-driven models
- (2019) Zhenhao Tang et al. ENERGY
- GAM-Based Mooring Alignment for SINS Based on An Improved CEEMD Denoising Method
- (2019) Hanxiao Rong et al. SENSORS
- Modeling and predicting reservoir landslide displacement with deep belief network and EWMA control charts: a case study in Three Gorges Reservoir
- (2019) Huajin Li et al. Landslides
- A hybrid forecasting approach applied in wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm
- (2018) Zhongshan Yang et al. ENERGY
- Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction
- (2018) Madasthu Santhosh et al. ENERGY CONVERSION AND MANAGEMENT
- Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models
- (2018) Huajin Li et al. Landslides
- Wind speed and wind direction forecasting using echo state network with nonlinear functions
- (2018) Mohammad Amin Chitsazan et al. RENEWABLE ENERGY
- Predictive model of yaw error in a wind turbine
- (2017) Tinghui Ouyang et al. ENERGY
- A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting
- (2017) Wenyu Zhang et al. ENERGY CONVERSION AND MANAGEMENT
- Transfer learning for short-term wind speed prediction with deep neural networks
- (2016) Qinghua Hu et al. RENEWABLE ENERGY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Wind direction forecasting with artificial neural networks and support vector machines
- (2015) F. Tagliaferri et al. OCEAN ENGINEERING
- Improved complete ensemble EMD: A suitable tool for biomedical signal processing
- (2014) Marcelo A. Colominas et al. Biomedical Signal Processing and Control
- Fitting a mixture of von Mises distributions in order to model data on wind direction in Peninsular Malaysia
- (2013) N. Masseran et al. ENERGY CONVERSION AND MANAGEMENT
- Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
- (2013) Da Liu et al. RENEWABLE ENERGY
- Fine tuning support vector machines for short-term wind speed forecasting
- (2011) Junyi Zhou et al. ENERGY CONVERSION AND MANAGEMENT
- ARMA based approaches for forecasting the tuple of wind speed and direction
- (2010) Ergin Erdem et al. APPLIED ENERGY
- Prediction of wind speed time series using modified Taylor Kriging method
- (2010) Heping Liu et al. ENERGY
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