Results 71 to 80 of about 406 (163)

Short-term forecasting of building heating load based on MVMD-SSA-LSTM

Clean Energy Science and Technology
A short-term heating load forecast for buildings is a critical step in the subsequent control of energy systems, directly impacting system energy consumption. However, given that heating load and its influencing factors constitute volatile time series data, noise interference within the data significantly limits prediction accuracy and stability.
Bo Zhou, Yueyi Zhang, Chaoyang Fei, Xiuming Li, Zhigang Xie, Daohe Li   +5 more
openaire   +1 more source

The multivariate mixture dynamics model: shifted dynamics and correlation skew [PDF]

, 2019
The multi variate mixture dynamics model is a tractable, dynamical, arbitrage-free multivariate model characterized by transparency on the dependence structure, since closed form formulae for terminal correlations, average correlations and copula ...
Brigo, Damiano, Rapisarda, Francesco, Pisani, Camilla   +2 more
core   +1 more source

An Adaptive MVMD-Based Stacking Ensemble Framework for Bearing Reliability Assessment and Prediction

Rolling element bearings are critical components in rotating machinery, yet assessing and predicting their reliability under heavy industrial noise remains challenging.
Jianlin Qiu, Yifan Yu, Shuxi Chen, Liting Lei, Depeng Gao   +4 more
core   +1 more source

Symmetry-Aware Short-Term Load Forecasting in Distribution Networks: A Synergistic Enhanced KMA-MVMD-Crossformer Framework

Accurate and efficient short-term load forecasting is crucial for the secure and stable operation and scheduling of power grids. Addressing the inability of traditional Transformer-based prediction models to capture symmetric correlations between ...
Shuolin Zhang, Qi You, Haowen Liu, Kunhua Liu, Huiping Guo, Jingfeng Zhao, Lan Bai   +6 more
core   +1 more source

Identification method for miner fatigue levels based on coupling characteristics of electromyography signals

Meikuang Anquan
To accurately identify the muscle fatigue levels of miners engaged in long-term operations in coal mines, reduce human-factor risks, and precisely prevent safety accidents caused by miner fatigue, a muscle fatigue level recognition method for miners ...
Pengjia TU, Hongmei JIN, Qi WANG, Haoran WANG   +3 more
doaj   +1 more source

Enhancing Alzheimer’s detection from EEG using MVMD and feature optimization algorithm

Journal of King Saud University – Science
Alzheimer’s disease (AD) is a neurodegenerative disorder causing progressive cognitive decline, often associated with slower electroencephalogram activity (EEG) and reduced neural synchronization. Although EEG is important for diagnosing AD, distinguishing signals from individuals with mild cognitive impairment (MCI) or AD is challenging.
Ibrahim Al-Shourbaji, Abdalla Alameen
openaire   +1 more source

Research on Leak Location Method of Water Supply Pipeline Based on MVMD

Computer Modeling in Engineering & Sciences, 2023
Qiansheng Fang, Haojie Wang, Chenlei Xie, Jie Chen   +3 more
openaire   +1 more source

Research on Fault Diagnosis of Gearbox with Improved Variational Mode Decomposition

Sensors, 2018
Variational Mode Decomposition (VMD) can decompose signals into multiple intrinsic mode functions (IMFs). In recent years, VMD has been widely used in fault diagnosis.
Zhijian Wang, Junyuan Wang, Wenhua Du
doaj   +1 more source

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks

Wave power is an emerging renewable energy technology that has not reached its full potential. For wave power plants, a reliable forecast system is crucial to managing intermittency. We propose a novel robust short-term wave power (Pw) forecasting method,
Deo, Ravinesh C., Farooque, Aitazaz A., Prasad, Ramendra, Malik, Anurag, Abdulla, Shahab, Ali, Mumtaz, Labban, Abdulhaleem H., Jamei, Mehdi, Xiang, Yong   +8 more
core   +1 more source

Investigating dimensionally-reduced highly-damped systems with multivariate variational mode decomposition : an experimental approach [PDF]

This paper has been withdrawn by Mehulkumar Rajkumar Lakhadive We have identified significant methodological and mathematical inconsistencies in the current formulation of the paper, particularly in the absence of the optimization framework that is ...
Lakhadive, Mehulkumar, Sharma, Anshu, Bhowmik, Basuraj   +2 more
core   +2 more sources