Jie Zhang

Two-stage coordinated optimal scheduling strategy for a microgrid cluster considering shared energy storage leasing

Jie Zhang, Wenjing Zeng, Hua Shu, Shaocheng Li et autres

At present, the large-scale integration of distributed renewable energy sources poses significant challenges for the microgrid cluster (MGC), including high renewable output variability, large net load fluctuations, and insufficient capability for local renewable energy accommodation. Meanwhile, existing shared energy storage (SES) operation …

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Strength and mechanical failure characteristics of intact and flawed coarse- and fine-grained granite under true triaxial compression

Bing-Lei Li, Song Bing-kun, Hao-Ze Chen, Jie Zhang et autres

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Research on intelligent content generation and adaptive presentation in virtual simulation scenarios

Xuezhi Fan, Jie Zhang

Virtual simulation technologies have become indispensable in education, medical training, psychological therapy, and industrial applications. However, traditional virtual systems rely heavily on static pre-designed content and simple rule-based adaptations, resulting in limited personalization, suboptimal immersion, and increased cybersickness. This paper proposes the …

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A Dynamic Prediction Method for Assembly Quality Based on Physics-Informed Machine Learning

Hong-Wei Xu, Ming Lu, Wei Wang, Hong-Wen Xing et autres

Abstract In aircraft stringer assembly, flatness out-of-tolerance is caused by the cumulative propagation of multisource coupled deviations, and it is difficult to perceive this phenomenon dynamically. To address this problem, this study proposes a dynamic prediction method that integrates assembly deviation mechanisms …

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Traditional chinese medicine monomers in dry eye disease: Pharmacological mechanisms, tear film stability, and translational challenges

Qiya Wang, Jie Zhang, Leilei Shi

Introduction Dry eye disease (DED) is characterized by persistent disruption of tear film homeostasis, and durable restoration remains challenging. Traditional Chinese medicine (TCM) monomers are chemically defined bioactive compounds that may modulate multiple pathogenic processes. This review evaluates their pharmacological actions and …

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Fine-Scale Maturity Recognition of Eucalyptus Plantations Based on Deep Learning and Multimodal Feature Fusion

Lizhi Liu, Jianwen Huang, Ying Guo, Qingwang Liu et autres

Accurate identification of eucalyptus plantation maturity, which is hierarchically defined as young forests, middle-aged forests, and mature forests, corresponding to different growth and physiological development stages of eucalyptus stands, is critical for forestry management and sustainable development. Currently, research on fine-grained semantic …

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Feature Representation Learning by Knowledge-Informed Evolutionary Generating Programming for Remaining Useful Life Prediction of Winders

Jie Ren, Jie Zhang, Junliang Wang, Yun Cai et autres

Abstract Feature extraction from high-speed winding machines is crucial in diagnosing equipment failures in chemical fiber production. However, current methods often face challenges in prediction accuracy and adaptability, especially when accounting for varying degradation modes and operational conditions. This article proposes a …

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Non-intrusive electrical and mechanical fault diagnosis of induction motors via Fourier-transform-aided learning

Jingyi Yan, Hariram Arni, Bin Jou, Matthew C. Gardner et autres

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The role of small modular reactors in powering data centers for a sustainable digital economy

Roshni Anna Jacob, Honglin Li, Ali Mahboub Rad, Bikash Poudel et autres

This paper presents a critical perspective on the potential of small modular reactors (SMRs) to address the rapidly increasing energy demands of the digital economy, particularly those driven by advancements in artificial intelligence (AI). Drawing on expertise in techno-economic analysis and the …

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DCSR-Net: A Dual-Axis Context and Spatial-Channel Refinement Network for PV Segmentation in Remote Sensing Images

Yongkun Nie, Junjie Zhu, Yuehua Chen, Wen Weng et autres

The current methods for segmenting photovoltaic (PV) from remote sensing images still face problems such as complex backgrounds, dense array distributions, scale variations, and discontinuous boundaries. To address these issues, this paper proposes DCSR-Net, a PV segmentation network that integrates dual-axis contextual …

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Analysis of impedance and grid-connected interaction of string-type grid-forming PCS based on state-space model

Fengshun Jiao, Guoxing Wu, Hao Zhang, Jie Zhang et autres

In converter-dominated, low-inertia grids, grid-forming (GFM) power conversion systems under virtual synchronous generator (VSG) control facing interaction and stability risks, especially in parallel operation. This paper develops a unified small-signal state-space model that links the VSG power loop, voltage–current loop, and the …

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Large-scale bird surveillance technology using operational weather radar

Weishi Chen, Hongchuang Niu, Jia Liu, Jie Zhang et autres

Abstract The operational weather radar network is highly suitable for large-scale bird monitoring and early warning systems. This study discusses, compares and contrasts current state-of-the-art technologies for large-scale bird surveillance – including manual observation, satellite tracking, dedicated avian radar and the operational …

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