Related references
Note: Only part of the references are listed.Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network
Zongxi Qu et al.
RENEWABLE ENERGY (2019)
The determination of offshore wind energy potential of Turkey by using novelty hybrid site selection method
Cem Emeksiz et al.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2019)
A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting
Chaoshun Li et al.
APPLIED ENERGY (2018)
Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network
Wei Sun et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Hui Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Research and application of an innovative combined model based on a modified optimization algorithm for wind speed forecasting
Ping Jiang et al.
MEASUREMENT (2018)
Photovoltaics and wind status in the European Union after the Paris Agreement
Roberto Lacal Arantegui et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
China's energy revolution strategy into 2030
Qilin Liu et al.
RESOURCES CONSERVATION AND RECYCLING (2018)
An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine
Na Sun et al.
ENERGY (2018)
A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting
Ping Jiang et al.
ENERGY (2017)
A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting
Daniel Ambach et al.
ENERGY (2017)
A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting
Wenyu Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine
Tian Peng et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Multi-step wind speed forecasting based on a hybrid forecasting architecture and an improved bat algorithm
Liye Xiao et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network
Chuanjin Yu et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Performance prediction of PEM fuel cell with wavy serpentine flow channel by using artificial neural network
Mehmet Seyhan et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)
Research and application of a hybrid wavelet neural network model with the improved cuckoo search algorithm for electrical power system forecasting
Liye Xiao et al.
APPLIED ENERGY (2017)
An improved neural network-based approach for short-term wind speed and power forecast
G. W. Chang et al.
RENEWABLE ENERGY (2017)
A data-driven multi-model methodology with deep feature selection for short-term wind forecasting
Cong Feng et al.
APPLIED ENERGY (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)
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Ravinesh C. Deo et al.
APPLIED ENERGY (2016)
Computer-aided sleep staging using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and bootstrap aggregating
Ahnaf Rashik Hassan et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2016)
On practical challenges of decomposition-based hybrid forecasting algorithms for wind speed and solar irradiation
Yamin Wang et al.
ENERGY (2016)
Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm
Anbo Meng et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Linear and non-linear autoregressive models for short-term wind speed forecasting
M. Lydia et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Back-propagation algorithm with variable adaptive momentum
Alaa Ali Hameed et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
Shouxiang Wang et al.
RENEWABLE ENERGY (2016)
Analysis of multi-scale chaotic characteristics of wind power based on Hilbert-Huang transform and Hurst analysis
Zhengtang Liang et al.
APPLIED ENERGY (2015)
A hybrid technique for short-term wind speed prediction
Jianming Hu et al.
ENERGY (2015)
Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms
Hui Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
A new hybrid support vector machine-wavelet transform approach for estimation of horizontal global solar radiation
Kasra Mohammadi et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
Support vector regression based prediction of global solar radiation on a horizontal surface
Kasra Mohammadi et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
Wind speed prediction in the mountainous region of India using an artificial neural network model
P. Ramasamy et al.
RENEWABLE ENERGY (2015)
Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
Jianzhou Wang et al.
RENEWABLE ENERGY (2015)
The impact of sub-hourly modelling in power systems with significant levels of renewable generation
J. P. Deane et al.
APPLIED ENERGY (2014)
Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
Chao Ren et al.
KNOWLEDGE-BASED SYSTEMS (2014)
Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
Da Liu et al.
RENEWABLE ENERGY (2014)
Fractal dimension of wind speed time series
Tian-Pau Chang et al.
APPLIED ENERGY (2012)
Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition
Varun Bajaj et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2012)
An order tracking technique for the gear fault diagnosis using local mean decomposition method
Junsheng Cheng et al.
MECHANISM AND MACHINE THEORY (2012)
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Zhenhai Guo et al.
RENEWABLE ENERGY (2012)
ARMA based approaches for forecasting the tuple of wind speed and direction
Ergin Erdem et al.
APPLIED ENERGY (2011)
A case study on a hybrid wind speed forecasting method using BP neural network
Zhen-hai Guo et al.
KNOWLEDGE-BASED SYSTEMS (2011)
On comparing three artificial neural networks for wind speed forecasting
Gong Li et al.
APPLIED ENERGY (2010)
Wavelet based hurst exponent and fractal dimensional analysis of Saudi climatic dynamics
S. Rehman et al.
CHAOS SOLITONS & FRACTALS (2009)
Origin of pressure fluctuations in an internal-loop airlift reactor and its application in flow regime detection
Wen-Hui Zhang et al.
CHEMICAL ENGINEERING SCIENCE (2009)
Day-ahead wind speed forecasting using f-ARIMA models
Rajesh G. Kavasseri et al.
RENEWABLE ENERGY (2009)
Short term wind speed forecasting in La Venta, Oaxaca, Mexico, using artificial neural networks
Erasmo Cadenas et al.
RENEWABLE ENERGY (2009)
A relationship between Hurst exponents of slip and waiting time data of earthquakes
Chien-chih Chen et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2008)
Calibrated probabilistic forecasting at the stateline wind energy center: The regime-switching space-time method
Tilmann Gneiting et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
The local mean decomposition and its application to EEG perception data
JS Smith
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2005)