Development of MVMD-EO-LSTM Model for a Short-Term Photovoltaic Power Prediction
Energies, 2022 The accuracy and stability of short-term photovoltaic (PV) power prediction is crucial for power planning and dispatching in a grid system. For this reason, the multi-resolution variational modal decomposition (MVMD) method is proposed to achieve multi ...
Hsiung-Cheng Lin, Yaheng Ren
exaly +5 more sources
Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT [PDF]
MicromachinesThe stable and accurate output of the inertial measurement unit array (IMU) of a micro-electro-mechanical system (MEMS) is the key to ensuring the data fusion of the MEMS IMU array.
Hanyan Li +4 more
doaj +3 more sources
A deep complementary learning framework for surface water temperature forecasting [PDF]
Scientific ReportsWater temperature plays a pivotal role in shaping riverine ecosystems, exerting significant influence on a range of water quality parameters. However, accurately forecasting multi-temporal daily data remains challenging due to the non-stationary and ...
Mehdi Jamei +6 more
doaj +3 more sources
Smart Sensor-Based Monitoring Technology for Machinery Fault Detection [PDF]
SensorsRotary machines commonly use rolling element bearings to support rotation of the shafts. Most machine performance imperfections are related to bearing defects.
Ming Zhang, Xing Xing, Wilson Wang
doaj +3 more sources
Mode decomposition-based time-varying phase synchronization for fMRI [PDF]
NeuroImage, 2022 Recently, there has been significant interest in measuring time-varying functional connectivity (TVC) between different brain regions using resting-state functional magnetic resonance imaging (rs-fMRI) data.
Hamed Honari, Martin A. Lindquist
doaj +2 more sources
Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique [PDF]
Frontiers in Artificial IntelligenceShort-term load forecasting plays a vital role in today's modern life to ensure the balance between energy demand and supply. Dynamic variations in weather and electricity consumption patterns can significantly influence load patterns, resulting in ...
Radhika Chandrasekaran +1 more
doaj +2 more sources
Parallel fusion model for complex multi-source vibration time-series prediction [PDF]
Scientific ReportsAiming at the insufficient prediction accuracy caused by the non-stationary and multi-frequency coupling characteristics of complex multi-source vibration signals, this study proposes a parallel fusion prediction model that takes hyperparameter ...
Wei Huang, Jian Xu
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A Novel EMG-Based Hand Gesture Recognition Framework Based on Multivariate Variational Mode Decomposition [PDF]
Sensors, 2021 Surface electromyography (sEMG) is a kind of biological signal that records muscle activity noninvasively, which is of great significance in advanced human-computer interaction, prosthetic control, clinical therapy, and biomechanics.
Kun Yang +4 more
doaj +2 more sources
Fault Diagnosis of Wind Turbine Gearbox Based on Improved Multivariate Variational Mode Decomposition and Ensemble Refined Composite Multivariate Multiscale Dispersion Entropy [PDF]
EntropyWind turbine planetary gearboxes have complex structures and operating environments, which makes it difficult to extract fault features effectively. In addition, it is difficult to achieve efficient fault diagnosis.
Xin Xia, Xiaolu Wang, Weilin Chen
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A High-Precision Short-Term Photovoltaic Power Forecasting Model Based on Multivariate Variational Mode Decomposition and Gated Recurrent Unit-Attention with Crested Porcupine Optimizer-Enhanced Vector Weighted Average Algorithm [PDF]
SensorsThe increasing reliance on renewable energy sources, such as photovoltaic (PV) systems, is pivotal for achieving sustainable development and addressing global energy challenges. However, short-term power forecasting for distributed PV systems often faces
Jinxiang Pian, Xianliang Chen
doaj +2 more sources