Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach
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Title
Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach
Authors
Keywords
Hybrid decomposition technique, Wind speed forecasting, Back propagation neural network, Hurst analysis, Local mean decomposition
Journal
ENERGY
Volume 238, Issue -, Pages 121764
Publisher
Elsevier BV
Online
2021-08-12
DOI
10.1016/j.energy.2021.121764
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Note: Only part of the references are listed.- The determination of offshore wind energy potential of Turkey by using novelty hybrid site selection method
- (2019) Cem Emeksiz et al. Sustainable Energy Technologies and Assessments
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- (2018) Ping Jiang et al. MEASUREMENT
- Photovoltaics and wind status in the European Union after the Paris Agreement
- (2018) Roberto Lacal Arantegui et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- China’s energy revolution strategy into 2030
- (2018) Qilin Liu et al. RESOURCES CONSERVATION AND RECYCLING
- An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine
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- Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network
- (2018) Zongxi Qu et al. RENEWABLE ENERGY
- A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting
- (2017) Ping Jiang et al. ENERGY
- A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting
- (2017) Daniel Ambach 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
- Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine
- (2017) Tian Peng et al. ENERGY CONVERSION AND MANAGEMENT
- Multi-step wind speed forecasting based on a hybrid forecasting architecture and an improved bat algorithm
- (2017) Liye Xiao et al. ENERGY CONVERSION AND MANAGEMENT
- An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network
- (2017) Chuanjin Yu et al. ENERGY CONVERSION AND MANAGEMENT
- Performance prediction of PEM fuel cell with wavy serpentine flow channel by using artificial neural network
- (2017) Mehmet Seyhan et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
- (2016) Ravinesh C. Deo et al. APPLIED ENERGY
- Computer-aided sleep staging using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and bootstrap aggregating
- (2016) Ahnaf Rashik Hassan et al. Biomedical Signal Processing and Control
- On practical challenges of decomposition-based hybrid forecasting algorithms for wind speed and solar irradiation
- (2016) Yamin Wang et al. ENERGY
- Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm
- (2016) Anbo Meng et al. ENERGY CONVERSION AND MANAGEMENT
- Linear and non-linear autoregressive models for short-term wind speed forecasting
- (2016) M. Lydia et al. ENERGY CONVERSION AND MANAGEMENT
- Back-propagation algorithm with variable adaptive momentum
- (2016) Alaa Ali Hameed et al. KNOWLEDGE-BASED SYSTEMS
- Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
- (2016) Shouxiang Wang et al. RENEWABLE ENERGY
- Analysis of multi-scale chaotic characteristics of wind power based on Hilbert–Huang transform and Hurst analysis
- (2015) Zhengtang Liang et al. APPLIED ENERGY
- A hybrid technique for short-term wind speed prediction
- (2015) Jianming Hu et al. ENERGY
- Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms
- (2015) Hui Liu et al. ENERGY CONVERSION AND MANAGEMENT
- A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
- (2015) Kasra Mohammadi et al. ENERGY CONVERSION AND MANAGEMENT
- Support vector regression based prediction of global solar radiation on a horizontal surface
- (2015) Kasra Mohammadi et al. ENERGY CONVERSION AND MANAGEMENT
- Wind speed prediction in the mountainous region of India using an artificial neural network model
- (2015) P. Ramasamy et al. RENEWABLE ENERGY
- Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
- (2015) Jianzhou Wang et al. RENEWABLE ENERGY
- The impact of sub-hourly modelling in power systems with significant levels of renewable generation
- (2013) J.P. Deane et al. APPLIED ENERGY
- Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
- (2013) Chao Ren et al. KNOWLEDGE-BASED SYSTEMS
- Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
- (2013) Da Liu et al. RENEWABLE ENERGY
- An order tracking technique for the gear fault diagnosis using local mean decomposition method
- (2012) Junsheng Cheng et al. MECHANISM AND MACHINE THEORY
- Fractal dimension of wind speed time series
- (2011) Tian-Pau Chang et al. APPLIED ENERGY
- Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition
- (2011) V. Bajaj et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- A case study on a hybrid wind speed forecasting method using BP neural network
- (2011) Zhen-hai Guo et al. KNOWLEDGE-BASED SYSTEMS
- Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
- (2011) Zhenhai Guo et al. RENEWABLE ENERGY
- On comparing three artificial neural networks for wind speed forecasting
- (2010) Gong Li et al. APPLIED ENERGY
- ARMA based approaches for forecasting the tuple of wind speed and direction
- (2010) Ergin Erdem et al. APPLIED ENERGY
- Origin of pressure fluctuations in an internal-loop airlift reactor and its application in flow regime detection
- (2008) Wen-Hui Zhang et al. CHEMICAL ENGINEERING SCIENCE
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- (2008) Chien-chih Chen et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Day-ahead wind speed forecasting using f-ARIMA models
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- (2008) Erasmo Cadenas et al. RENEWABLE ENERGY
- Wavelet based hurst exponent and fractal dimensional analysis of Saudi climatic dynamics
- (2007) S. Rehman et al. CHAOS SOLITONS & FRACTALS
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