Shanghai University of Electric Power

Hybrid hypergraph networks for multimodal sequence data classification

Abstract Modeling temporal multimodal data requires both long-range temporal dependencies and cross-modal interactions to be represented. Existing approaches commonly model each modality separately and then apply shallow fusion, which can limit the representation of higher-order...

A Cubic q‐Rung Orthopair Fuzzy Decision Framework for Offshore Wind Farm Site Selection Using Entropy Weighting and Ideal‐Solution‐Based Ranking

ABSTRACT In offshore wind power development, offshore wind farm siting (OWFS) is a crucial yet complex decision process, often compromised by expert linguistic ambiguity, multidimensional expert evaluation and conflicting criteria. To tackle these challenges, this study proposes...

Hierarchical multi-market coordination of virtual power plants via multi-factor differentiated bidding

With the increasing participation of distributed energy resources and the growing importance of carbon and flexibility services, virtual power plants (VPPs) require market bidding and revenue-allocation mechanisms that reflect heterogeneous operating characteristics. Conventional...

Multi-stage siting and sizing of PV stations under long-term carbon price: a branch-and-bound embedded progressive hedging approach

Reasonable programming of photovoltaic (PV) site selection and sizing is essential for boosting renewable energy penetration and power system carbon emission reduction, thereby mitigating future electricity procurement cost risks under dynamic carbon pricing. However, the problem...

Grid-following and grid-forming current fusion control for battery energy storage converters under different grid conditions

Battery energy storage system (BESS) converters are increasingly required to provide fast frequency support in low-inertia power systems under varying grid strength and limited energy headroom. Fixed grid-following (GFL) or grid-forming (GFM) control cannot readily coordinate pow...

Research on Optimization and Performance Analysis of Centrifugal Blood Pump Blade Parameters Based on Numerical Simulation

Abstract Objective: Taking the centrifugal blood pump as the research object, this study investigates the effects of blade type and blade wrap angle on pump performance, aiming to determine the optimal blade configuration and the appropriate range of the correlation coefficient φ...

Effect of External Magnetic Field on Microstructure and Mechanical Properties of GMW2/H1000 Resistance Spot-Welded Joints

This study investigated the effect of magnet working distance on the external magnetic-field distribution, weld-nugget geometry, and mechanical response of GMW2/H1000 dissimilar steel joints produced by magnetic-field-assisted resistance spot welding (MA-RSW). Three-dimensional m...

Dynamic evaluation of uncertainty quantification under distribution shift in materials property prediction

Materials-screening models are commonly selected through random in-distribution evaluations, although their errors and reported uncertainties can change beyond the training domain. We present a dynamic evaluation framework that tracks predictive robustness and uncertainty reliabi...

Thermal management and cycle life enhancement of Lithium-ion Battery packs using low-fin tubes: Electrochemical-thermal-aging modelling and geometric optimization

Air cooling remains the most widely adopted thermal management strategy for lithium battery packs due to its simplicity and reliability. Thus, improving cooling efficiency and temperature homogeneity remains critical for such methods. Herein, this study proposes a low fin tube (L...

Collaborative optimization framework of battery charging/swapping stations for eVTOLs based on closed-loop supply chain and space-time network

Electric vertical take-off and landing (eVTOL) aircraft, by virtue of their advantages such as high efficiency, environmental friendliness, and low noise, are regarded as an effective means of alleviating urban traffic congestion. Although eVTOLs have policy support, industrial f...

Machine Learning-GuidedRational Design of Dual-SiteCatalysts for Synergistic CO2-to-CO Photoreductionand Antibiotic Degradation

Abstract Rising atmospheric CO2 levels and pervasive pharmaceutical wastewater contamination are two pressing global environmental challenges. Integrating CO2 reduction with the organic pollutant degradation in a single photocatalytic system is an attractive strategy for collabor...