Forecasting of interval carbon price in China based on decomposition-reconstruction-ensemble framework [PDF]
Carbon Balance and ManagementAccurate prediction of carbon prices is imperative for the effective management of carbon markets and the facilitation of a global transition to green energy.
Beibei Hu, Yunhe Cheng
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Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection [PDF]
Scientific ReportsPredicting air pollution is crucial in improving air quality (AQ), which consequently provides benefits to the ecosystems and human health. AQ predictions often make use of Machine Learning (ML) approaches; nevertheless, these methods are not without ...
Iman Ahmadianfar +10 more
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A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model [PDF]
Results in EngineeringGroundwater level prediction is critical for environmental protection and agricultural planning. Accurate predictions help manage risks associated with excessive groundwater extraction and land subsidence.
Akram Seifi +3 more
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Short-Term Wind Power Prediction Based on MVMD-AVOA-CNN-LSTM-AM
International Transactions on Electrical Energy SystemsDue 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 +3 more
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Deep Learning Method Based on Multivariate Variational Mode Decomposition for Classification of Epileptic Signals [PDF]
Brain SciencesBackground/Objectives: Epilepsy is a neurological disorder that severely impacts patients’ quality of life. In clinical practice, specific pharmacological and surgical interventions are tailored to distinct seizure types.
Shang Zhang +3 more
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Fault diagnosis method using MVMD signal reconstruction and MMDE-GNDO feature extraction and MPA-SVM [PDF]
Frontiers in PhysicsTo achieve a comprehensive and accurate diagnosis of faults in rolling bearings, a method for diagnosing rolling bearing faults has been proposed.
Min Mao +7 more
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Intelligent Bearing Fault Diagnosis Based on Multivariate Symmetrized Dot Pattern and LEG Transformer [PDF]
Machines, 2022 Deep learning based on vibration signal image representation has proven to be effective for the intelligent fault diagnosis of bearings. However, previous studies have focused primarily on dealing with single-channel vibration signal processing, which ...
Bin Pang +5 more
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Short-Term Photovoltaic Power Generation Based on MVMD Feature Extraction and Informer Model [PDF]
Applied SciencesPhotovoltaic (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 +5 more
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Multiscale Functional Connectivity analysis of episodic memory reconstruction [PDF]
Frontiers in CognitionOur ability to share memories constitutes a social foundation of our world. When exposed to another person's memory, individuals can mentally reconstruct the events described, even if they were not present during the related events.
Manuel Morante +4 more
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Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting [PDF]
Scientific ReportsA precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for hydrological prediction; however, they still face certain
Arvin Samadi-Koucheksaraee, Xuefeng Chu
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