Jiaming Weng

Adversarial Neural Network Methods for Topology Optimization of Eigenvalue Problems

Xindi Hu, Jiaming Weng, Shengfeng Zhu

This paper presents a new method based on neural networks to optimize the first eigenvalues of second-order elliptic and fourth-order biharmonic operators subject to geometric constraints. These models can have applications in material design for drums and plates. Our approach tackles this …

Developmental organization of sensory and sympathetic ganglia

Keng Ioi Vong, Yanina D. Álvarez, Qingquan Zhang, Jiaming Weng et autres

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Seminal Plasma Metabolomic Profiling Reveals Key Metabolic Signatures Linked to Spermatogenic Potential in Non-Obstructive Azoospermia with Cryptorchidism

Jianwei Cheng, Yanlin Tang, Qiancheng Zhao, Jiaming Weng et autres

BACKGROUND/OBJECTIVES: Cryptorchidism is a common cause of male infertility and often results in azoospermia. However, the metabolic perturbations underlying cryptorchidism complicated with azoospermia and their association with surgical sperm retrieval outcomes remain poorly defined. METHODS: A total of 35 patients with cryptorchidism …

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A deep learning based voltage model predictive control method for distribution networks

Jinyu Chai, Yunhao Yu, Dong Liu, Yufeng Wu et autres

This paper proposes a control method combining model predictive control and deep reinforcement learning technology to address the voltage control challenges caused by the volatility and unpredictability of renewable energy. Firstly, this paper proposes a collaborative optimization operation control strategy for distribution …

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A Stackelberg game virtual power plant resource aggregation and dynamic pricing method based on high-quality sample point selection

Haijing Luo, Dong Liu, Jiaming Weng

Virtual power plants (VPPs), as a model for effectively aggregating and efficiently managing distributed energy resources, possess significant development potential in participating in electricity spot market transactions. In the context of the spot market, this paper proposes an integrated model for VPP …

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Power grid disaster defense strategy based on fusion flow model

Chengdong Jiang, Fuhua Luo, Dong Liu, B. Zhu et autres

In recent years, the increasing frequency and intensity of extreme natural disasters have posed significant threats to the secure and stable operation of power systems. To address the defense of power grids against such disasters, this paper constructs a physical fusion flow …

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Dynamic evolution of security region and operational risk assessment in PV-integrated distribution networks

Bin Liu, Libao Shi, Dong Liu, Xiaoyong Cao et autres

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A phenotypic brain organoid atlas and biobank for neurodevelopmental disorders

Lu Wang, Y. Nakamura, Junhao Li, David Sievert et autres

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A phenotypic brain organoid atlas for neurodevelopmental disorders

Lu Wang, Y. Nakamura, Junhao Li, David Sievert et autres

SUMMARY Thousands of genes are associated with neurodevelopmental disorders (NDDs), yet mechanisms and targeted treatments remain elusive. To fill these gaps, we present a CIRM-initiated NDD biobank of 352 publicly-available genetically-diverse patient-derived iPSCs, along with clinical details, brain imaging and genomic data, …

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Adaptive Piecewise Linearization-Based Fault Characteristic Analysis Method for Distribution Networks

Xudong Song, Jinhua Huang, Dong Liu, Zhen‐Guo Liu et autres

With the widespread application of Distributed Generation (DG) in modern distribution networks, the operational and fault characteristics of distribution networks have become increasingly complex. Traditional fault diagnosis methods are difficult to meet real-time diagnostic needs due to high computational complexity. This paper …

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Optimization Method for the Operation of AC-DC Hybrid Microgrids Based on Hybrid Logic Dynamic Model

Zhenguo Liu, Jinhua Huang, Dong Liu, Xudong Song et autres

With the rapid development of renewable energy, AC-DC hybrid microgrids have become a crucial research focus in modern power systems due to their ability to efficiently integrate distributed energy sources and meet diverse load demands. However, the operation optimization of hybrid microgrids …

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Rolling Optimization for VPP in Spot or Ancillary Service Markets Based on Deep Learning Forecasts

Bin Liu, Dong Liu, Jiaming Weng, Zhiyuan Liu et autres

This paper presents a comprehensive framework for Virtual Power Plant (VPP) participation in spot and ancillary service markets, integrating deep learning-based forecasting with rolling optimization strategies. The proposed approach combines Transformer-GRU hybrid architecture for renewable energy forecasting and LSTM networks for electricity …

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