Results 21 to 30 of about 858,701 (293)

Very Short-Term Wind Direction Multistep Forecast Based on VMD-LSTM

南方能源建设, 2023
[Introduction] In order to accurately forecast the wind direction in the next 4 hours, a very short-term wind direction multistep forecast algorithm based on VMD-LSTM（Variational Mode Decomposition-Long Short-Term Memory） is proposed.
Xiuhao LI, Huaixi LIU, Zhiyong ZHANG, Min ZHANG, Di WU, Desheng MIAO   +5 more
doaj   +1 more source

Load distribution fault diagnosis method of synchronous condenser based on VMD-MSVM

电力工程技术, 2022
Due to the large-scale construction of ultra high voltage direct current (UHVDC) transmission projects, the demand for reactive power regulation at the receiving end of UHVDC is increasing day by day, so the synchronous condensers is applied in the power
ZHANG Yuliang, MA Hongzhong, JIANG Mengyao   +2 more
doaj   +1 more source

Railway rolling bearing fault diagnosis based on multi-scale intrinsic mode function permutation entropy and extreme learning machine classifier

Advances in Mechanical Engineering, 2016
The application of the multi-scale intrinsic mode function permutation entropy and extreme learning machine classifiers in railway rolling bearing fault diagnosis is here proposed in this article.
Dechen Yao, Jianwei Yang, Yongliang Bai, Xiaoqing Cheng   +3 more
doaj   +1 more source

Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach

Forecasting, 2022
Because of the non-linearity inherent in energy commodity prices, traditional mono-scale smoothing methodologies cannot accommodate their unique properties.
Emmanuel Senyo Fianu
doaj   +1 more source

Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition

Sensors, 2015
Impedance plethysmography provides a way to measure respiratory activity by sensing the change of thoracic impedance caused by inspiration and expiration.
Fu-Tai Wang, Hsiao-Lung Chan, Chun-Li Wang, Hung-Ming Jian, Sheng-Hsiung Lin   +4 more
doaj   +1 more source

Effect of impurities on the transition between minority ion and mode conversion ICRH heating in (3He)-H tokamak plasmas [PDF]

, 2013
Hydrogen majority plasmas will be used in the initial non-activated phase of ITER operation. Optimizing ion cyclotron resonance heating (ICRH) in such scenarios will help in achieving H-mode in these plasmas.
Fülöp, T., Kazakov, Ye. O., Van Eester, D.   +2 more
core   +2 more sources

Detection of relevant information in intrinsic mode functions

Visión electrónica, 2020
The empirical mode decomposition (EMD) decomposes a local and adaptive time series into a finite set of intrinsic mode functions (IMF), AM-FM signals that allow to represent a non-linear and non-stationary model with the advantage of not losing the underlying meaning.
Roberto Sebastián Hernández Santander, Esperanza Camargo Casallas   +1 more
openaire   +3 more sources

Orthogonal intrinsic mode functions via optimization approach

Journal of Industrial & Management Optimization, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Xinpeng, Ling, Bingo Wing-Kuen, Kuang, Wei-Chao, Yang, Zhijing   +3 more
openaire   +3 more sources

Hour-Ahead Wind Speed and Power Forecasting Using Empirical Mode Decomposition

Energies, 2013
Operation of wind power generation in a large farm is quite challenging in a smart grid owing to uncertain weather conditions. Consequently, operators must accurately forecast wind speed/power in the dispatch center to carry out unit commitment, real ...
Ying-Yi Hong, Ti-Hsuan Yu, Ching-Yun Liu
doaj   +1 more source

Tight-binding study of structure and vibrations of amorphous silicon

, 2004
We present a tight-binding calculation that, for the first time, accurately describes the structural, vibrational and elastic properties of amorphous silicon.
D. Papaconstantopoulos, J. Feldman, M. Mehl, M. Wakagi, N. Bernstein, P. B. Allen, S. M. Nakhmanson   +6 more
core   +1 more source