相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Aytac Altan et al.
APPLIED SOFT COMPUTING (2021)
Short-Term Wind Power Prediction Based on Improved Grey Wolf Optimization Algorithm for Extreme Learning Machine
Jiale Ding et al.
PROCESSES (2020)
Comparison of deep learning models for multivariate prediction of time series wind power generation and temperature
Sambeet Mishra et al.
ENERGY REPORTS (2020)
Predicting hourly ozone concentrations using wavelets and ARIMA models
Ledys Salazar et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
Han Wang et al.
APPLIED ENERGY (2019)
A novel hybrid model for short-term wind power forecasting
Pei Du et al.
APPLIED SOFT COMPUTING (2019)
A review of deep learning for renewable energy forecasting
Huaizhi Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System
Majid Dehghani et al.
ENERGIES (2019)
Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
Aasim et al.
RENEWABLE ENERGY (2019)
A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources
Shahab Shamshirband et al.
IEEE ACCESS (2019)
Two combined forecasting models based on singular spectrum analysis and intelligent optimized algorithm for short-term wind speed
Ping Jiang et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Optimal windy sites in Algeria: Potential and perspectives
H. Daaou Nedjari et al.
ENERGY (2018)
One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data
Xinyu Zhao et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Hui Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
A novel wind speed prediction method: Hybrid of correlation-aided DWT, LSSVM and GARCH
Yan Jiang et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2018)
Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum Analysis for hour-ahead wind speed forecasting
Chuanjin Yu et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm
Xi-wei Mi et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
A generalized dynamic fuzzy neural network based on singular spectrum analysis optimized by brain storm optimization for short-term wind speed forecasting
Xuejiao Ma et al.
APPLIED SOFT COMPUTING (2017)
A novel forecasting model based on a hybrid processing strategy and an optimized local linear fuzzy neural network to make wind power forecasting: A case study of wind farms in China
Qingli Dong et al.
RENEWABLE ENERGY (2017)
An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed
Jing Zhao et al.
APPLIED ENERGY (2016)
Design and state of art of innovative wind turbine systems
Vlastimir Nikolic et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
Wind Energy Potential Assessment and Forecasting Research Based on the Data Pre-Processing Technique and Swarm Intelligent Optimization Algorithms
Zhilong Wang et al.
SUSTAINABILITY (2016)
Estimation of extreme wind speed in SCS and NWP by a non-stationary model
Lizhen Wang et al.
THEORETICAL AND APPLIED MECHANICS LETTERS (2016)
A new semiparametric and EEMD based framework for mid-term electricity demand forecasting in China: Hidden characteristic extraction and probability density prediction
Zhen Shao et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
Jianzhou Wang et al.
RENEWABLE ENERGY (2015)
Grey Wolf Optimizer
Seyedali Mirjalili et al.
ADVANCES IN ENGINEERING SOFTWARE (2014)
Prediction of rainfall time series using modular soft computing methods
C. L. Wu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)