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    • 田猛老师荣获《中国电力》2025年度优秀审稿专家
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    • 恭喜刘鑫等同学在期刊Reliability Engineering & System Safety发表论文 "Multi-scenario robust stochastic programming based distributed energy resources allocation in distribution networks: Balancing economic efficiency and resilience"
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    • 田猛老师和董政呈老师获评《电力系统保护与控制》《Protection and Control of Modern Power Systems》两刊“2024年度优秀助理编辑”称号
    • 田猛，董政呈和张清勇老师带队在第十九届“挑战杯”全国大学生课外学术科技作品竞赛2024年度“揭榜挂帅”专项赛中斩获特等奖
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    • 田猛和董政呈老师担任《Clean Energy Science and Technology》|《清洁能源科学与技术》中英双语学术期刊青年编委
    • 田猛和董政呈老师担任当选《电力系统保护与控制》《Protection and Control of Modern Power Systems》两刊青年助理编辑
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    • 面向多变环境的智能电力网络韧性增强能源配置方法及系统
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    • 基于Faster R-CNN的电力线异物检测方法
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    • 一种鲁棒强化学习的配网潮流优化方法及计算机可读介质
    • 基于强化学习理论的配电网开关自动控制方法和系统
    • 一种极端天气下电力系统弹性提升方法
    • 考虑信息物理耦合关系的电力系统N-k故障下关键线路辨识方法
    • 一种复杂背景下电力线精确提取方法
    • 一种电能计量装置中传感器故障诊断方法及系统
    • 一种基于保护量测点的现代输电网虚假数据攻击防御方法
    • 一种基于参数估计的现代输电网虚假数据攻击方法
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    • 检测GIS内SO2的紫外光谱检测系统及数据处理方法
    • 一种35kV高压并联电容器在线监测系统及方法
    • 基于卡尔曼频率跟踪的容性设备介损在线监测方法[P]
    • Multi-scenario robust stochastic programming based distributed energy resources allocation in distribution networks: Balancing economic efficiency and resilience[J]
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    • Coordinated repair crew dispatch problem for cyber-physical distribution system[J]
    • 基于鲁棒强化学习的配网潮流优化方法[J]
    • Allocating defense and recovery resources for spatial networks against cascading failures [J]
    • An Object-Based Markov Random Field with Partition-Global Alternately Updated for Semantic Segmentation of High Spatial Resolution Remote Sensing Image[J]
    • Blindly assess quality of in-the-wild videos via quality-aware pre-training and motion perception[J]
    • Human Operating Risk Assessment for Outdoor Terminal Box of Electric Power[J]
    • Mitigating cascading failures of spatially embedded cyber-physical power systems by adding additional information links[J]
    • Analysis of false data injection attacks in power systems: a dynamic bayesian game-theoretic approach[J]
    • Analysis of false data injection attacks in power systems: a dynamic bayesian game-theoretic approach[J]
    • Learning to predict the quality of distorted-then-compressed images via a deep neural network[J]
    • Modeling and vulnerability analysis of spatially embedded heterogeneous cyber-physical systems with functional dependency[J]
    • Reinforcement learning approach for robustness analysis of complex networks with incomplete information[J]
    • 基于多层级信息稀疏表征的盲图像质量评价[J]
    • 基于局部上下文信息的电力线提取算法[J]
    • 考虑控制系统-发电机信息物理耦合的脆弱输电线路辨识[J]
    • Improving the robustness of spatial networks by link addition: more and dispersed links perform better[J]
    • Countermeasures to false data injection attacks on power system state estimation based on protecting measurements
    • Energy-supported cascading failure model on interdependent networks considering control nodes[J]
    • Impact of core-periphery structure on cascading failures in interdependent scale-free networks[J]
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    • Research on the connection radius of dependency links in interdependent spatial networks against cascading failures[J]
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    • 考虑路由策略的电力CPS连锁故障建模及分析[J]
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    • 基于拉格朗日乘子法的虚假数据攻击策略[J]
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    • The influence of the depth of k-core layers on the robustness of interdependent networks against cascading failures[J]
    • 一种基于状态估计的新型窃电方法及对策研究[J]
    • 输电网虚假数据攻击研究综述[J]
    • Approaches to improve the robustness of interdependent networks against cascading failures with load-based model[J]
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    • Hydrophobicity classification of polymeric insulators based on embedded methods[J]
    • 不同耦合方式和耦合强度对电力-通信耦合网络的影响[J]
    • 通信光缆故障对电力网连锁故障的影响[J]
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PyTorch

2024-12-02 · 0 min read
Last updated on 2024-12-02
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