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	Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
	Liu, Hui; Mi, Xiwei; Li, Yanfei*
刊名	Energy Conversion and Management
	2018
卷号	155页码:188-200
关键词	Wind speed forecasting Wavelet packet decomposition Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Artificial Neural Network ANN Artificial Neural Network AR Auto Regressive ARIMA Auto Regressive Integrated Moving Average BA Bat Algorithm BP Back-propagation Neural Network CEEMDAN Complete Ensemble Empirical Mode Decomposition CG Conjugate Gradient CLSFPA Flower Pollination Algorithm with Chaotic Local Search CNN Convolutional Neural Network CS Compressive Sensing CSA Cuckoo Search Algorithm EEMD Ensemble Empirical Mode Decomposition ESM Exponential Smoothing Method FA Firefly Algorithm FAC First-order Adaptive Coefficient GA Genetic Algorithm GRNN General Regression Neural Network HBSA Hybrid Backtracking Search Algorithm HWM Holt-Winters Model IMFs Intrinsic Mode Functions IS Input parameter Selection KF Kalman filter LSSVM Least Square Support Vector Machine MAE Mean Absolute Error MAPE Mean Absolute Percentage Error MLP Multilayer Perceptron Neural Network MOBA Multi Objective Bat Algorithm NNCT No Negative Constraint Theory NSGA Non-dominated Sorting Genetic Algorithm OVMD Optimized Variational Mode Decomposition PSO Particle Swam Optimization PSOSA Particle Swarm Optimization based on Simulated Annealing PSR Phase Space Reconstruction RBF Radial Basis Function Neural Network RMSE Root Mean Square Error SAC Second-order Adaptive Coefficient SAM Seasonal Adjustment Method SDA Secondary Decomposition Algorithm SEA Seasonal Exponential Adjustment SOM Self-Organizing feature Maps SSA Singular Spectrum Analysis SVR Support Vector Regression VMD Variational Mode Decomposition v-SVM v-Support Vector Machine WD Wavelet Decomposition WPD Wavelet Packet Decomposition
ISSN号	0196-8904
DOI	10.1016/j.enconman.2017.10.085
URL标识	查看原文
WOS记录号	WOS:000419414500019;EI:20174604402788
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3320700
专题	中南大学
作者单位	1.[Li, Yanfei 2.Liu, Hui 3.Mi, Xiwei] Cent S Univ, Sch Traff & Transportat Engn, Key Lab Traff Safety Track, Minist Educ, Changsha 410075, Hunan, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Hui,Mi, Xiwei,Li, Yanfei*. Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks[J]. Energy Conversion and Management,2018,155:188-200.
APA	Liu, Hui,Mi, Xiwei,&Li, Yanfei*.(2018).Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks.Energy Conversion and Management,155,188-200.
MLA	Liu, Hui,et al."Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks".Energy Conversion and Management 155(2018):188-200.

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