Zhejiang dianliAccurate load forecasting is essential for ensuring the economic and reliable operation of integrated energy systems （IESs）. However， the nonstationarity， dynamically time-varying coupling， and high stochasticity of multivariate loads pose significant ...
MAO Junchen +5 more
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Meikuang AnquanTo 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 +3 more
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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This paper has been withdrawn by Mehulkumar Rajkumar Lakhadive We have identified significant methodological and mathematical inconsistencies in the current formulation of the paper,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 +2 more
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Symmetry-Aware Short-Term Load Forecasting in Distribution Networks: A Synergistic Enhanced KMA-MVMD-Crossformer Framework [PDF]
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 +6 more
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The SSHVEP Paradigm-Based Brain Controlled Method for Grasping Robot Using MVMD Combined CNN Model
IEEE Transactions on Neural Systems and Rehabilitation EngineeringIn 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 +8 more
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Surface Water Quality Index Forecasting Using Multivariate Complementing Approach Reinforced With Locally Weighted Linear Regression Model [PDF]
SpringerRiver water quality management and monitoring are essential responsibilities for communities near rivers. Government decision-makers should monitor important quality factors like temperature, dissolved oxygen (DO), pH, and biochemical oxygen ...
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Remote SensingPacific Island countries are vulnerable to the impacts of climate change, which include the risks of increased ocean temperatures, sea level rise and coastal wetland loss.
Nawin Raj, Sarah Pasfield-Neofitou
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Forecasting River Water Temperature Using Explainable Artificial Intelligence and Hybrid Machine Learning: Case Studies in Menindee Region in Australia [PDF]
Water temperature (WT) is a crucial factor indicating the quality of water in the river system. Given the significant variability in water quality, it is vital to devise more precise methods to forecast temperature in river systems and assess the water ...
Salvin S. Prasad +11 more
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Short-Term Load Forecasting for a Renewable-Rich Power System Using an IMVMD-XLSTM
EnergiesThe high penetration of photovoltaic and wind power introduces strong non-stationarity and multi-scale fluctuations into power system load profiles, challenging the accuracy of short-term load forecasting (STLF).
Qiujing Lin +3 more
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Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework [PDF]
Developing reliable streamflow forecasting models is critical for hydrological tasks such as improving water resource management, analyzing river patterns, and flood forecasting.
Jamei, Mozhdeh +8 more
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