QQ客服 官方微博 反馈留言

	Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks
	Liu, Hui*; Tian, Hong-Qi; Liang, Xi-Feng; Li, Yan-Fei
刊名	Applied Energy
	2015
卷号	157页码:183-194
关键词	ARIMA Auto Regressive Integrated Moving Average ANN Artificial Neural Networks KF Kalman Filter MSM Markov Switching Model PCA Principal Component Analysis AA Apriori Algorithm BT Bayesian Theory SBM Structural Break Modeling GMCM Gaussian Mixture Copula Model NWP Numerical Weather Prediction KSF Kalman Short-term Filtering HIRLAM High Resolution Limited Area Model BP Back Propagation RBF Radial Basis Function ALE Adaptive Linear Element MAS Multiple Architecture System MLR Multiple Linear Regression MLP Multi-Layer Perceptron RBF Radial Basis Function SVM Support Vector Machine ABA Ada-boost Algorithm PSO Particle Swarm Optimization FAC First-order Adaptive Coefficient SAC Second-order Adaptive Coefficient SAA Seasonal Adjustment Algorithm ESM Exponential Smoothing Method MFNN Multi-layer Feed-forward Neural Networks FRR Fuzzy Rough Regression ELM Extreme Learning Machines MM5 Fifth Generation Mesoscale Model GNWP Global Numerical Weather Prediction EPA Evolutionary Programming Algorithm OFM Organizing Feature Maps WD Wavelet Decomposition WPD Wavelet Packet Decomposition NF Neuro-Fuzzy ANFIS Adaptive Neuro-Fuzzy Inference Systems PM Persistent Model UKF Unscented Kalman Filter SVR Support Vector Regression FEEMD Fast Ensemble Empirical Mode Decomposition HM Hammerstein Model AR Auto Regressive EMD Empirical Mode Decomposition SDA Secondary Decomposition Algorithm PRWM Persistent Random Walk Model IMFs Intrinsic Mode Functions EEMD Ensemble Empirical Mode Decomposition GD-BP Gradient Descent Back Propagation GDM-BP Gradient Descent with Momentum Back Propagation GD-ALR-BP Gradient Descent with Adaptive Learning Rate Back Propagation GDM-ALR-BP Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation CG-BP-FRU Conjugate Gradient Back Propagation with Fletcher-Reeves Updates CG-BP-PR Conjugate Gradient Back Propagation with Polak-Ribiére Update CG-BP-PBR Conjugate Gradient Back Propagation with Powell-Beale Restarts SCG-BP Scaled Conjugate Gradient Back Propagation BFGS-BP Broyden-Fletcher-Goldfarb-Shanno Back Propagation OSS-BP One Step Secant Back Propagation LM-BP Levenberg Marquardt Back Propagation MAE Mean Absolute Error MAPE Mean Absolute Percentage Error RMSE Root Mean Square Error Wind speed forecasting Secondary decomposition algorithm Wavelet packet decomposition Fast ensemble empirical mode decomposition Elman neural networks
ISSN号	0306-2619
DOI	10.1016/j.apenergy.2015.08.014
URL标识	查看原文
WOS记录号	WOS:000364249200017;EI:20153401206166
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3315082
专题	中南大学
作者单位	1.[Li, Yan-Fei 2.Liang, Xi-Feng 3.Liu, Hui 4.Tian, Hong-Qi] Cent S Univ, Sch Traff & Transportat Engn, Minist Educ, Key Lab Traff Safety Track, Changsha 410075, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Hui*,Tian, Hong-Qi,Liang, Xi-Feng,et al. Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks[J]. Applied Energy,2015,157:183-194.
APA	Liu, Hui*,Tian, Hong-Qi,Liang, Xi-Feng,&Li, Yan-Fei.(2015).Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks.Applied Energy,157,183-194.
MLA	Liu, Hui*,et al."Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks".Applied Energy 157(2015):183-194.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。