New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

Norden E. Huang, Steven Long, Man‐Li C. Wu et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 1998 · 23.3K citations · Full text

Computing, Computational Engineering, Biomedical Signal Processing +16

ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD

Zhaohua Wu, Norden E. Huang · Advances in Adaptive Data Analysis · 2008 · 8.6K citations

Computing, Data Science, Biomedical Signal Processing +15

On the computational complexity of the empirical mode decomposition algorithm

Yung-Hung Wang, Chien-Hung Yeh, Hsu-Wen Vincent Young et al. · Physica A Statistical Mechanics and its Applications · 2014 · 416 citations

Computing, Computer Science, Algorithms +9

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

Hui Liu, Hong-qi Tian, Yanfei Li · Applied Energy · 2012 · 407 citations

Natural Sciences, Meteorology, Forecasting +13

THE MULTI-DIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION METHOD

Zhaohua Wu, Norden E. Huang, Xianyao Chen · Advances in Adaptive Data Analysis · 2009 · 402 citations

Computing, Visualization, Biomedical Imaging +9