标题
Two-phase deep learning model for short-term wind direction forecasting
作者
关键词
Wind direction prediction, Two-phase prediction model, Improved flower pollination algorithm, Echo state network
出版物
RENEWABLE ENERGY
Volume 173, Issue -, Pages 1005-1016
出版商
Elsevier BV
发表日期
2021-04-19
DOI
10.1016/j.renene.2021.04.041
参考文献
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- (2019) Tinghui Ouyang et al. RENEWABLE ENERGY
- The multi-objective optimization of combustion system operations based on deep data-driven models
- (2019) Zhenhao Tang et al. ENERGY
- Chaotic wind power time series prediction via switching data-driven modes
- (2019) Tinghui Ouyang et al. RENEWABLE ENERGY
- Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
- (2018) Aowabin Rahman et al. APPLIED ENERGY
- Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
- (2018) Jesus Lago et al. APPLIED ENERGY
- A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
- (2018) Jingjing Song et al. APPLIED ENERGY
- Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction
- (2018) Madasthu Santhosh et al. ENERGY CONVERSION AND MANAGEMENT
- Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
- (2018) Hui Liu et al. ENERGY CONVERSION AND MANAGEMENT
- Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
- (2018) Hui Liu et al. ENERGY CONVERSION AND MANAGEMENT
- A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm
- (2018) Zhongshan Yang et al. APPLIED ENERGY
- A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL
- (2018) Yanhua Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Wind speed and wind direction forecasting using echo state network with nonlinear functions
- (2018) Mohammad Amin Chitsazan et al. RENEWABLE ENERGY
- A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines
- (2018) Xingxing Jiang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fast short-term global solar irradiance forecasting with wrapper mutual information
- (2018) Hassen Bouzgou et al. RENEWABLE ENERGY
- A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting
- (2017) Daniel Ambach et al. 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
- A hybrid forecasting approach applied in the electrical power system based on data preprocessing, optimization and artificial intelligence algorithms
- (2016) Ping Jiang et al. APPLIED MATHEMATICAL MODELLING
- A new intelligent method based on combination of VMD and ELM for short term wind power forecasting
- (2016) Ali Akbar Abdoos NEUROCOMPUTING
- Wind direction forecasting with artificial neural networks and support vector machines
- (2015) F. Tagliaferri et al. OCEAN ENGINEERING
- 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
- Day-ahead wind speed forecasting using f-ARIMA models
- (2008) Rajesh G. Kavasseri et al. RENEWABLE ENERGY
- Short term wind speed forecasting in La Venta, Oaxaca, México, using artificial neural networks
- (2008) Erasmo Cadenas et al. RENEWABLE ENERGY
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