Results 1 to 10 of about 3,491,274 (129)

Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM

International Transactions on Electrical Energy Systems
Due to the intermittent and fluctuating nature of wind power generation, it is difficult to achieve the desired prediction accuracy for wind power prediction.
Xiqing Zang, Zehua Wang, Shixu Zhang, Mingsong Bai   +3 more
doaj   +2 more sources

Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation

Alexandria Engineering Journal
Solar energy is one of the renewable and clean energy sources. Accurate solar radiation (SR) estimates are therefore needed in solar energy applications.
Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, Hao-Ting Pai, Brij B. Gupta, Saeid Mehdizadeh, Amir Mosavi   +6 more
doaj   +2 more sources

A Predictive Model for Voltage Transformer Ratio Error Considering Load Variations

World Electric Vehicle Journal
The accuracy of voltage transformer (VT) measurements is imperative for the security and reliability of power systems and the equitability of energy transactions.
Zhenhua Li, Jiuxi Cui, Paulo R. F. Rocha, Ahmed Abu-Siada, Hongbin Li, Li Qiu   +5 more
doaj   +1 more source

A Noise Reduction Algorithm for White Noise and Periodic Narrowband Interference Noise in Partial Discharge Signals

Applied Sciences
Partial discharge (PD) detection plays an important role in online condition monitoring of electrical equipment and power cables. However, the noise of PD measurement will significantly reduce the performance of the detection algorithm. In this paper, we
Jiyuan Cao, Yanwen Wang, Weixiong Zhu, Yihe Zhang   +3 more
doaj   +1 more source

Early fault diagnosis of transformer windings based on the improved MVMD-ELM

Frontiers in Energy Research
Aiming at the problems of weak early fault characteristics of transformer windings, large noise interference and insufficient accuracy of traditional diagnostic methods, this paper proposes an early fault diagnosis method for transformer windings based ...
Qiuyang Lin, Congwei Wang, Luyi Zhang, Fengping Zhang, Zichi Zhao, Minyi Wei, Jiaqi Liu, Cheng Li   +7 more
doaj   +1 more source

The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model

IEEE Transactions on Neural Systems and Rehabilitation Engineering
In recent years, the steady-state visual evoked potentials (SSVEP) based brain control method has been employed to help people with disabilities because of its advantages of high information transmission rate and low training time.
Rui Li, Duanyang Bai, Zhijun Li, Shiqiang Yang, Weiping Liu, Yichi Zhang, Jincao Zhou, Jing Luo, Wen Wang   +8 more
doaj   +1 more source

Fault-Line Selection Method in Active Distribution Networks Based on Improved Multivariate Variational Mode Decomposition and Lightweight YOLOv10 Network

Energies
In active distribution networks (ADNs), the extensive deployment of distributed generations (DGs) heightens system nonlinearity and non-stationarity, which can weaken fault characteristics and reduce fault detection accuracy.
Sizu Hou, Wenyao Wang
doaj   +1 more source

Cooling, Heat, Electricity and Gas Joint Load Forecasting Method Based on Modal Decomposition and Dynamic Model Selection

Information
Accurate joint forecasting of electricity, cooling, heating, and gas loads is essential to the coordinated operation of integrated energy systems. However, multivariate energy load sequences exhibit strong cross-carrier coupling, non-stationarity, and ...
He Jiang, Ruicong Han, Tianhui Shi, Yi Yang   +3 more
doaj   +1 more source

A framework for earthquake seismic signal classification with the aid of hybrid feature selection schemes and robust machine learning models

Frontiers in Earth Science
One of the most catastrophic natural events is an earthquake, which causes huge destruction to humanity, thus necessitating the use of seismic signals to detect and classify them.
Sunil Kumar Prabhakar, Dong-Ok Won, Dong-Ok Won, Dong-Ok Won   +3 more
doaj   +1 more source

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

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