North China Electric Power University

An edge AI‐powered power converter hardware platform for practical end‐to‐end AI‐to‐converter closed‐loop deployment

Abstract Modern power systems require increasingly flexible and responsive power conversion, driving the need for power converters with enhanced controllability and adaptability, where artificial intelligence (AI) plays a key role in enabling intelligent decision making, adaptive...

Structural damage identification of wind turbine blades based on multi-scale deformable linear Transformer network

Structural damage identification of wind turbine blades (WTBs) is crucial for reducing maintenance costs and ensuring operational reliability. Data-driven methods leveraging supervisory control and data acquisition (SCADA) data have advanced WTBs monitoring, but existing approach...

Optimal Energy Use Strategy of Load Aggregators with Heterogeneous Energy Storage in a Community Integrated Energy System Based on Hybrid Game Theory: Considering Participant Contribution

Abstract With the advancement of energy storage technology, the user side equipped with heterogeneous storage has become the norm. Under this context, how to further improve energy utilization efficiency and reduce energy cost via heterogeneous energy sharing among diverse users...

Surface Erosion–Corona Synergistic Degradation Characteristics and Material Adaptability of High-Temperature Vulcanized Silicone Rubber in Desert Regions

The harsh sandstorm and the strong electric fields generated by operating transmission lines in desert regions can readily lead to performance degradation and shortened service life of high-temperature vulcanized (HTV) silicone rubber (SR) composite insulators. To screen HTV sili...

DHST: A Deep Hybrid Structure–Topology Framework for Accurate Protein Function Prediction

Accurate protein function prediction (PFP) is essential for understanding biological systems. However, structure-based graph neural networks often rely on fixed-distance contact maps, which may inadequately capture continuous, multi-scale spatial topologies, while the long-tail d...

Research on Embodied Intelligence Technology for Electric Power Equipment Based on Large‐Scale Pre‐Trained Models

ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve gene...

Llm-assisted physics-guided spatiotemporal graph learning for power meteorological disaster evolution

Extreme meteorological events—such as winter cold waves, ice accretion, and typhoons—are increasingly becoming primary triggers that threaten the safe and stable operation of power systems. Their disaster-causing processes exhibit strong spatial correlations and multi-stage tempo...

Adaptive smooth-switching control strategy for soft open points based on dynamic short-circuit ratio identification

Purpose This paper aims to address stability issues from dynamic short-circuit ratio (SCR) variations caused by high distributed energy penetration. The limitations of soft open points using single control strategies, which are challenged by varying grid strengths, are overcome a...

Investigation of the dynamic stall characteristics for floating offshore wind turbine during pitch and surge motions

Platform motions periodically alter the relative inflow velocity and blade angle of attack of floating offshore wind turbines (FOWT), making the accurate prediction of dynamic stall essential for assessing aerodynamic loads and power fluctuations. This study systematically evalua...

Diagnosis of abnormal voltage in individual cells and fault trend prediction in energy storage power stations

Abstract During the operation of energy storage power stations, individual cells are prone to voltage inconsistency and abnormal voltage fluctuations due to manufacturing variations, inconsistent aging degrees, and changes in operating conditions. To address this issue, this stud...

Tuning Reaction Pathways by Controlling Atomic Assembly on Oxide Clusters

ABSTRACT Precisely controlling the assembly of atomic sites on oxide clusters (< 1 nm) represents an expanded yet challenging strategy for tuning catalytic performance. Here, we construct two well‐defined model catalysts, single‐atomic Pt on CuO x clusters (Pt 1 ‐CuO x /CN) an...

Spatial Correlation Network Assessment of the New Quality Productive Forces Among 283 Chinese Cities: Network Characteristics and Structural Resilience Features

Cities, being elementary concentrations of socio-economic activities and resource-environmental pressures, confront significant challenges in promoting new quality productive force (NQPF) development because technology, resource, and information conditions may be spatially associ...

Reversible Local CoordinationRelaxation of Lattice-EmbeddedRh Single Sites Enables Efficient and Durable Propene Hydroformylation

Abstract Efficient atomically dispersed Rh catalysts for propene hydroformylation require active sites that combine coordination flexibility during turnover with resistance to leaching and aggregation. Here we report Rh1@ZnO, in which Rh single sites are incorporated into cation...

Experimental and Numerical Study on the Flexural Performance of Prefabricated RC Beams with UHPC–Cogging–Grouted Sleeve Composite Joints

This study investigates the flexural performance of prefabricated reinforced concrete (RC) beams with a novel UHPC–cogging–grouted sleeve composite joint. Five beam specimens—one cast-in-place reference and four prefabricated examples—were tested under four-point bending. The key...

Building a Physics-Aware AI Ecosystem for Solid-State Hydrogen Storage Materials

Abstract Hydrogen storage remains a central bottleneck for scalable hydrogen energy systems due to the multiscale and coupled nature of the thermodynamics, kinetics, and microstructural evolution of hydrogen storage materials (HSMs). Although artificial intelligence (AI) has acce...

Quantifying the Flexibility of Centralized Hot Water Systems at a University Campus by Considering Demand Response Participation Uncertainty

Centralized hot water systems in university dormitories can provide significant energy flexibility through demand response (DR). Thus far, however, existing studies have mainly focused on system-level optimization and have failed to provide a quantitative framework that accounts...

Leveraging Machine Learning for Accelerated Electrode–Electrolyte Interface Design in Rechargeable Li‐Based Batteries

Due to their high specific energy, lithium-metal batteries (LMBs) are widely regarded as the promising next-generation energy storage devices. Nevertheless, their practical applications are plagued by the challenges of irregular deposition and dissolution, coupled with the high c...

Risk-Window Planning of HVDC-Connected Renewable Energy Bases with a Chronological-Replay-Protected Decision Gate

Planning HVDC-connected renewable energy bases is constrained by the cost of full 8760 h multi-scenario replay and the risk that temporal reduction obscures coupled renewable scarcity, ramping stress, storage depletion, and delivery recovery. This study develops an auditable and...

Analysis of the strong vertices of hadronic molecules DK, $$D^*K$$, $$DK^*$$ and their bottom analogs

Abstract In this work, we analyze the strong vertices of hadronic molecules DK , $$D^*K$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>D</mml:mi> <mml:mo>∗</mml:mo> </mml:msup> <mml:mi>K</mml:mi> </mml:mrow> </mml:math> , $$DK^*$$ <mml:m...

An Enhanced Fault-Tolerant Scheme for Arm-Multiplexing Modular Multilevel Converters

The arm-multiplexing modular multilevel converter (AM-MMC) is a new compact MMC topology that is especially promising for offshore high-voltage direct current transmission systems. However, the reliable operation of AM-MMCs suffers from submodule (SM) faults. The fault-tolerant s...