Search Results - subject:"Ensemble empirical mode decomposition"

Displacement prediction model of landslide based on a modified ensemble empirical mode decomposition and extreme learning machine

Lian, Cheng; Zeng, Zhigang; Yao, Wei; Tang, Huiming - In: Natural Hazards 66 (2013) 2, pp. 759-771

In this paper, an M–EEMD–ELM model (modified ensemble empirical mode decomposition (EEMD)-based extreme learning …

Persistent link: https://www.econbiz.de/10010758722

Forecasting daily and monthly exchange rates with machine learning techniques

Papadimitriou, Theophilos; Gogas, Periklis; … - Department of Economics, Democritus University of Thrace - 2013

We combine signal processing to machine learning methodologies by introducing a hybrid Ensemble Empirical Mode … Decomposition (EEMD), Multivariate Adaptive Regression Splines (MARS) and Support Vector Regression (SVR) model in order to forecast …

Persistent link: https://www.econbiz.de/10011245923

Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation

Feng, Zhipeng; Liang, Ming; Zhang, Yi; Hou, Shumin - In: Renewable Energy 47 (2012) C, pp. 112-126

into intrinsic mode functions (IMFs) using the ensemble empirical mode decomposition (EEMD) method as it can decompose any …

Persistent link: https://www.econbiz.de/10010806802

A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting

Tang, Ling; Yu, Lean; Wang, Shuai; Li, Jianping; Wang, … - In: Applied Energy 93 (2012) C, pp. 432-443

In this paper, a novel hybrid ensemble learning paradigm integrating ensemble empirical mode decomposition (EEMD) and …

Persistent link: https://www.econbiz.de/10011041250

Application of the ensemble empirical mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine

An, Xueli; Jiang, Dongxiang; Li, Shaohua; Zhao, Minghao - In: Energy 36 (2011) 9, pp. 5508-5520

fault features. In this study, a time-frequency method based on EEMD (ensemble empirical mode decomposition) and Hilbert … signals are analyzed using IMFs (intrinsic mode functions) extracted by ensemble empirical mode decomposition and Hilbert …

Persistent link: https://www.econbiz.de/10010808614

How does carbon price change? Evidences from EU ETS

Feng, Zhen-Hua; Liu, Chun-Feng; Wei, Yi-Ming - In: International Journal of Global Energy Issues 35 (2011) 2/3/4, pp. 132-144

By proposing the hypotheses for carbon price volatility, this paper uses variance ratio and Ensemble Empirical Mode … Decomposition (EEMD) to analyse the carbon price. Results show that carbon market is temperature-sensitive, affected by seasonal …

Persistent link: https://www.econbiz.de/10010669883