Results 51 to 60 of about 10,183 (167)

A novel multivariate decomposition-based hybrid model for interpretable multi-step-ahead daily reference evapotranspiration forecasting

Journal of Hydrology: Regional Studies
Study region: The Yazd and Ramsar stations are located in hybrid arid and humid climates in Iran, respectively. Study focus: This research study develops a complementary expert system for accurately forecasting reference evapotranspiration (ET0) over one,
Ali Matoog Obaid Lebawi, Mahnoosh Moghaddasi, Mehdi Mohammadi Ghaleni, Mansour Moradi   +3 more
doaj   +1 more source

Short-Term Load Forecasting for Residential Buildings Based on Multivariate Variational Mode Decomposition and Temporal Fusion Transformer

Energies
Short-term load forecasting plays a crucial role in managing the energy consumption of buildings in cities. Accurate forecasting enables residents to reduce energy waste and facilitates timely decision-making for power companies’ energy management.
Haoda Ye, Qiuyu Zhu, Xuefan Zhang
doaj   +1 more source

Series-Core Fusion Based Multivariate Variational Mode Decomposition for Short-Term Wind Power Prediction Using Multiple Meteorological Data

Forecasting
Accurate wind power forecasting is critical for enhancing the operational efficiency and stability of electrical power grids. Conventional single-variable signal decomposition forecasting methods ignore the coupling relationship between wind power and ...
Wentian Lu, Zhenming Lu, Wenjie Liu, Yifeng Cao   +3 more
doaj   +1 more source

Advances and applications of empirical mode decomposition and its variants in hydrology: A review

Guan'gai paishui xuebao
Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics.
CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong   +5 more
doaj   +1 more source

Multivariate variational mode decomposition to extract the stripe noise in GRACE harmonic coefficients

Geophysical Journal International
SUMMARY In this work, a novel method has been developed to remove the north–south stripe noise in the Level-2 spherical harmonic coefficient products collected by the Gravity Recovery and Climate Experiment (GRACE) mission. The proposed method extracts the stripe noise from the equivalent water height (EWH) map via the Multivariate ...
Guangyu Jian, Fang Zou, Chuang Xu, Zhengwen Yan   +3 more
openaire   +3 more sources

Advancing Remote Sensing for Health Monitoring: A Novel Framework for Precise Vital Sign Detection via IR-UWB Radar

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The impulse-radio ultra-wideband (IR-UWB) radar is ideally suitable for noncontact monitoring of respiratory rate and heart rate due to its noninvasive nature and high penetration capabilities.
Yizhu Wang, Jing Liang
doaj   +1 more source

Short-Term Photovoltaic Power Generation Based on MVMD Feature Extraction and Informer Model

Applied Sciences
Photovoltaic (PV) power fluctuates with weather changes, and traditional forecasting methods typically decompose the power itself to study its characteristics, ignoring the impact of multidimensional weather conditions on the power decomposition ...
Ruilin Xu, Jianyong Zheng, Fei Mei, Xie Yang, Yue Wu, Heng Zhang   +5 more
doaj   +1 more source

Enhanced Deep Representation Learning Extreme Learning Machines for EV Charging Load Forecasting by Improved Artemisinin Optimization and Multivariate Variational Mode Decomposition

Energies
The Electric Vehicle (EV) industry is developing rapidly, and EVs are becoming an increasingly important choice for the future of transportation. Therefore, accurately forecasting the electricity demand for EVs is crucial.
Anjie Zhong, Honghai Li, Zhongyi Tang, Zhirong Zhang   +3 more
doaj   +1 more source

Probabilistic finite elements for fatigue and fracture analysis [PDF]

An overview of the probabilistic finite element method (PFEM) developed by the authors and their colleagues in recent years is presented. The primary focus is placed on the development of PFEM for both structural mechanics problems and fracture mechanics
Belytschko, Ted, Liu, Wing Kam
core   +1 more source

A New Multi-Channel Triangular FMCW LADAR Signals Denoising Method Based on Improved SMVMD

Remote Sensing
Due to the short coherent integration time and other issues, the echo signal is seriously contaminated by noise, which reduces the target recognition accuracy of frequency modulation continuous wave (FMCW) laser radar (LADAR) in three-dimensional imaging.
Wei Li, Qinghai Dong, Bingnan Wang, Maosheng Xiang   +3 more
doaj   +1 more source