Electric Power Systems Research最新文献_第7页

A review of HVDC-based transmission congestion alleviation strategies for modern power systems 基于高压直流的现代电力系统输电拥塞缓解策略综述

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.epsr.2026.112748

Yang Zhou , Yifeng Liu , Sunhua Huang , Chenyang Guo , Yijia Cao , Yong Li

The rapid integration of large-scale renewable energy sources causes significant variability and uncertainty into modern power systems. Extreme fluctuations and randomness in wind and solar outputs, including sudden wind ramp-downs or rapid solar irradiance drops, can cause severe power imbalances, line overloads, and insufficient reserve responses, thereby threatening grid security. Conventional congestion management methods, including generation redispatch and network topology reconfiguration, often fail to adapt to fast-changing and uncertain conditions due to computational complexity and limited responsiveness. In this context, high voltage direct current (HVDC) transmission systems enable decoupled and bi-directional power flow control, rapid response, and precise regulation of interregional exchanges, outperforming other control devices in long-distance, large-capacity power transmission and congestion alleviation. This comprehensive review systematically analyses mainstream transmission congestion mitigation strategies across multiple dimensions, including key frameworks, general techniques and HVDC-based strategies for transmission congestion alleviation, highlighting the pivotal role of HVDC technologies. Furthermore, it synthesizes insights on power flow security and proposes future research directions to leverage HVDC coordination with complementary technologies. Finally, key challenges and promising research directions are identified to advance the security and reliability of future power grids.

大规模可再生能源的快速整合给现代电力系统带来了显著的可变性和不确定性。风能和太阳能输出的极端波动和随机性，包括风力突然下降或太阳辐照度迅速下降，可能导致严重的电力不平衡、线路过载和备用响应不足，从而威胁电网安全。传统的拥塞管理方法，包括代重调度和网络拓扑重构，由于计算复杂性和有限的响应能力，往往不能适应快速变化和不确定的条件。在此背景下，高压直流（HVDC）输电系统具有解耦、双向的潮流控制、快速响应和区域间交流的精确调节等特点，在远距离、大容量输电和缓解拥堵方面优于其他控制设备。本文从多个维度系统分析了主流的输电拥塞缓解策略，包括关键框架、一般技术和基于HVDC的输电拥塞缓解策略，突出了HVDC技术的关键作用。此外，本文还综合了对潮流安全的见解，并提出了利用高压直流协调与互补技术的未来研究方向。最后，对未来电网的安全性和可靠性提出了关键挑战和有前景的研究方向。

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引用次数: 0

Risk assessment of cascading failures in wind power DC transmission system based on improved black-winged kite algorithm 基于改进黑翼风筝算法的风电直流输电系统级联故障风险评估

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-02-09 DOI: 10.1016/j.epsr.2026.112829

Darui Zhu, Wenhao Zhang, Jing Bai, Wanqiao Chen

The wind power DC transmission system has unparalleled advantages over traditional AC transmission. However, under complex operating conditions, local faults may trigger a series of cascading failures, threatening the safety and stability of the entire system. To comprehensively assess the cascading failure characteristics of the wind power DC transmission system, this paper establishes identification indicators based on the most intuitive and closely related parameters of the transmission line itself to predict fault sequences. Additionally, five system risk assessment indicators: covering load levels, power flow distribution, voltage characteristics, wind power stability, and the interaction effects of the DC system are proposed to evaluate the impact of faults on the system. These indicators require the determination of comprehensive weights, which are calculated using the correlation coefficient method and variation coefficient method for subjective and objective weights, respectively. A linear combination of both weights is then used to establish a deviation minimization objective function, which is solved using the improved Black-winged Kite Algorithm to obtain the comprehensive indicator. The comprehensive identification indicators are applied for line identification to obtain the cascading fault sequence. Subsequently, risk assessment indicators are used to evaluate the severity of the obtained cascading fault sequence. Finally, the improved IEEE39 wind power DC transmission system is used as a test case to perform cascading fault sequence search and risk assessment, validating the feasibility and correctness of the proposed method.

风电直流输电系统具有传统交流输电系统无可比拟的优势。然而，在复杂的运行条件下，局部故障可能引发一系列级联故障，威胁到整个系统的安全稳定。为全面评估风电直流输电系统的级联故障特征，本文根据输电线路本身最直观、关系最密切的参数建立识别指标，预测故障序列。此外，还提出了负荷水平、潮流分布、电压特性、风电稳定性和直流系统相互作用等5个系统风险评估指标来评估故障对系统的影响。这些指标需要确定综合权重，主观权重采用相关系数法，客观权重采用变异系数法计算。然后将两个权重线性组合，建立偏差最小化目标函数，利用改进的黑翼风筝算法求解，得到综合指标。采用综合识别指标进行线路识别，得到级联故障序列。然后利用风险评价指标对得到的级联故障序列的严重程度进行评价。最后，以改进后的IEEE39风电直流输电系统为例，进行级联故障序列搜索和风险评估，验证了所提方法的可行性和正确性。

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引用次数: 0

Optimization of corona ring design dimensions for extra high-voltage substation bus post insulators using a linear regression approach 用线性回归方法优化特高压变电站母线杆绝缘子电晕环设计尺寸

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-02-06 DOI: 10.1016/j.epsr.2026.112814

M.Raja Nayak , G. Radhika , M. Saritha , Prabhakara Sharma Pidatala , Pradeep Panthagani , B. Devulal , Harish Sesham

This study introduces an advanced approach for predicting the optimal dimensions of corona rings in bus post insulators using computational simulations combined with linear regression techniques. Accurate corona ring design is essential to manage this severe electric field stress failing which may lead to insulation failures, energy losses, and decreased system reliability. Although, existing system follow consistent corona ring dimension configuration, further optimization includes abating field stress with reducing ring material size empowers cost effective reliable operation. Thus, optimization of ring dimensions using actual testing approach solely results in expensive choice, while computational simulation-based testing approach aids in arriving optimal ring design dimensions. The goal of this research is to develop empirical relation in systematic approach include sophisticated linear regression machine learning approach to predict the accurate optimal dimensions of corona rings across various voltage levels. Initially, the study employs the precise Boundary Element Method (BEM) in COULOMB 3D software to simulate electric field stress for 400 kV and 765 kV bus post insulators using industry provided design dimensions and arrives optimal ring dimension configuration from multiple case studies. To the optimal ring dimension data generated from these simulations forms the basis for creating a linear regression model. This linear regression model is then applied to predict the corona ring dimensions for further 1200 kV insulators and validated with same 1200 kV BEM simulation data. The key findings underscore the potential of proposed linear regression method to offer scalable, cost-effective solutions for optimizing corona ring dimensions.

本文介绍了一种利用计算模拟结合线性回归技术预测母线柱绝缘子电晕环最佳尺寸的先进方法。精确的电晕环设计对于控制严重的电场应力失效至关重要，电场应力失效可能导致绝缘失效、能量损失和系统可靠性降低。虽然现有系统遵循一致的电晕环尺寸配置，但进一步的优化包括通过减小环材料尺寸来降低应力场，从而实现经济有效的可靠运行。因此，使用实际测试方法来优化环的尺寸只会导致昂贵的选择，而基于计算模拟的测试方法有助于获得最佳的环设计尺寸。本研究的目的是在系统方法中建立经验关系，包括复杂的线性回归机器学习方法，以预测不同电压水平下电晕环的准确最佳尺寸。首先，该研究采用COULOMB 3D软件中的精确边界元法（BEM），利用行业提供的设计尺寸模拟了400 kV和765 kV母线杆绝缘子的电场应力，并通过多个案例研究得出了最佳环尺寸配置。从这些模拟中生成的最佳环尺寸数据构成了创建线性回归模型的基础。然后将该线性回归模型应用于预测进一步的1200kv绝缘子的电晕环尺寸，并使用相同的1200kv BEM模拟数据进行验证。这些关键发现强调了线性回归方法的潜力，为优化电晕环尺寸提供了可扩展的、经济有效的解决方案。

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引用次数: 0

Vibration-induced micro-discharge at suspension clamp-conductor interfaces under short circuit conditions 短路条件下悬架钳-导体界面振动诱发微放电

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-01-24 DOI: 10.1016/j.epsr.2026.112772

Chuanyi Zheng , Gengbiao Deng , Beisi Huang , Rui Wang , Deming Guo , Gang Liu

The conductor at the suspension clamp is always the weak point of the overhead line due to its unique contact structure. When a short circuit occurs, the discharge generated inside the suspension clamp may cause damage to the conductor and lead to serious safety accidents. This article conducted multi contact vibration discharge experiments at the clamp-conductor interfaces. For the first time, microsecond-level observation of vibration discharge inside the clamp has been achieved. Experiments have shown that spark discharge occurs at the clamp-conductor interfaces during dynamic contact separation. Besides, the resistance between contact points is a key factor affecting discharge energy. The energy reduction exceeded 98% for contact discharge and 99% for separation discharge when the resistance between contact points rose from 1.61 mΩ to 8.07 mΩ. The research results of this paper supplement the damage mechanism of conductor at suspension clamps under short circuit current. It provides experimental support for vibration discharge suppression and online monitoring technology inside the clamp.

悬挂钳处的导线由于其独特的接触结构，一直是架空线的薄弱环节。当发生短路时，悬挂夹内部产生的放电可能会损坏导体，导致严重的安全事故。本文在夹芯-导体界面处进行了多接触振动放电实验。首次实现了钳内振动放电的微秒级观测。实验表明，在动态接触分离过程中，夹芯-导体界面处产生火花放电。此外，接触点之间的电阻是影响放电能量的关键因素。当接触点之间的电阻从1.61 mΩ增加到8.07 mΩ时，接触放电的能量减少超过98%，分离放电的能量减少超过99%。本文的研究结果补充了短路电流作用下悬吊钳处导体的损伤机理。为夹具内部振动放电抑制和在线监测技术提供了实验支持。

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引用次数: 0

Study on surface hydrophobicity of silicone rubber insulator with grating structure based on nanosecond pulse laser processing 基于纳秒脉冲激光加工的光栅结构硅橡胶绝缘子表面疏水性研究

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-01-09 DOI: 10.1016/j.epsr.2026.112710

Yuyao Hu , Yulin Wang , Fangbin Liu , Xingliang Jiang , Wentao Jia , Qiang Zhou , Hui Liu

As the insulation equipment of the power grid, the original contact angle of the silicone rubber of the main material of the composite insulator is about 110°, which does not meet the superhydrophobic standard. To improve the hydrophobicity, a biomimetic superhydrophobic structure, namely the grating micro/nano composite structure of rice leaf, was textured on silicone rubber surface using nanosecond pulsed laser, and the influence of laser technological parameters on the grating microstructure and wetting performance was investigated. Moreover, the chemical elements and functional groups on the surface of silicone rubber before and after laser treatment were tested with an energy dispersive spectrometer and Fourier transform infrared spectroscope. The results show that after laser processing, the grating microstructure and micro / nano particles on the surface of silicone rubber increase the average roughness from 0.6537 μm to 2.5191 μm, and the maximum contact angle is 154.25°. The elemental species on the surface of silicone rubber remain unchanged, but the overall content of carbon and oxygen elements increases, while that of silicon element declines. In summary, the grating microstructure prepared by nanosecond laser can effectively improve the hydrophobicity of the silicone rubber surface, thereby improving the performance of the composite insulator.

作为电网的绝缘设备，复合绝缘子的主要材料硅橡胶的原始接触角约为110°，不符合超疏水标准。为了提高硅橡胶的疏水性，利用纳秒脉冲激光在硅橡胶表面织构了一种仿生超疏水结构，即水稻叶片的光栅微纳复合结构，并研究了激光工艺参数对光栅微观结构和润湿性能的影响。利用能量色散光谱仪和傅里叶变换红外光谱仪对激光处理前后硅橡胶表面的化学元素和官能团进行了检测。结果表明：激光加工后，硅橡胶表面的光栅微结构和微纳颗粒使硅橡胶表面的平均粗糙度从0.6537 μm提高到2.5191 μm，最大接触角为154.25°；硅橡胶表面元素种类保持不变，但碳、氧元素总体含量增加，硅元素含量下降。综上所述，纳秒激光制备的光栅微结构可以有效改善硅橡胶表面的疏水性，从而提高复合绝缘子的性能。

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引用次数: 0

Wave propagation analysis of HTLS conductors with equivalent electrical performance to conventional conductors 电性能与传统导体相当的HTLS导体的波传播分析

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-01-14 DOI: 10.1016/j.epsr.2026.112737

Jesus E. Guevara Asorza , Theofilos A. Papadopoulos , Ricardo A. De Araujo , José Pissolato Filho

This study examines the effect of replacing conventional conductors with high-temperature, low-sag (HTLS) conductors in overhead transmission lines, with a focus on electrical performance. The research analyzes both steady-state and transient behavior, focusing on modifications in propagation modes and the response to electrical excitations. The steady-state analysis reveals that the best HTLS conductors selected that meet ampacity requirements do not satisfy the critical electric field gradient limit. To address this limitation, two HTLS conductors were chosen, and the number of conductors per phase was varied. In the propagation modes, HTLS conductors show a lower phase velocity at low frequencies but exhibit similar behavior to conventional conductors at high frequencies. Additionally, subtle variations in attenuation constants were observed. In the transient analysis, the response to a step voltage excitation demonstrates that HTLS conductors attenuate overvoltages more quickly than conventional ones. Soil resistivity is found to be a determining factor: higher values lead to lower overvoltage amplitudes and faster attenuation, while lower values result in higher amplitudes and delayed wave dissipation. This relationship between soil resistivity and transient behavior emphasizes the importance of this parameter in ensuring model accuracy and system safety. The results suggest that the selected HTLS conductors did not show significant differences in transient response, highlighting the need for further studies to assess their performance in switching operations and atmospheric discharges, with the goal of improving the reliability of transmission systems.

本研究考察了在架空输电线路中用高温低凹陷（HTLS）导体取代传统导体的影响，重点是电气性能。该研究分析了稳态和瞬态行为，重点研究了传播模式的变化和对电激励的响应。稳态分析表明，所选择的满足电容要求的最佳HTLS导体不满足临界电场梯度极限。为了解决这一限制，选择了两个HTLS导体，并且改变了每相导体的数量。在传输模式中，HTLS导体在低频时表现出较低的相速度，但在高频时表现出与传统导体相似的行为。此外，衰减常数也有细微的变化。在暂态分析中，对阶跃电压激励的响应表明，HTLS导体比传统导体更快地衰减过电压。发现土壤电阻率是一个决定因素，越高的过电压幅值越低，衰减越快，越低的过电压幅值越高，波耗散延迟。土壤电阻率与瞬态行为之间的关系强调了该参数在确保模型精度和系统安全方面的重要性。结果表明，选定的HTLS导体在瞬态响应方面没有显着差异，强调需要进一步研究以评估其在开关操作和大气放电中的性能，以提高传输系统的可靠性。

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引用次数: 0

A cross-correlation based islanding detection technique using negative sequence injection 负序列注入的互相关孤岛检测技术

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-02-09 DOI: 10.1016/j.epsr.2026.112805

Chiranjit Biswas , Abanishwar Chakrabarti , Swanirbhar Majumder , Anindita Jamatia

This paper presents a robust islanding detection strategy for grid-connected voltage source converter (VSC) systems. The approach is based on injecting a controlled negative-sequence voltage through the VSC and evaluating the correlation between the injected signal and the negative-sequence voltage measured at the point of common coupling (PCC). Instead of depending on the magnitude of the injected disturbance, the proposed technique relies on the similarity between the two signals, which enables accurate islanding detection even when very small negative-sequence components are used. The use of a correlation-based index also enhances immunity to measurement noise and system disturbances. The effectiveness of the method is validated through detailed simulation and experimental investigations under different load and source variations. Results show that the proposed technique consistently identifies islanding conditions within 1.5 cycles for a 50-Hz power system, demonstrating fast response and high reliability, making it well suited for modern converter-dominated grids.

针对并网电压源变换器（VSC）系统，提出了一种鲁棒孤岛检测策略。该方法基于通过VSC注入可控负序电压，并评估注入信号与共耦合点（PCC）测量的负序电压之间的相关性。该技术不依赖于注入扰动的大小，而是依赖于两个信号之间的相似性，即使在使用非常小的负序列分量时也能实现精确的孤岛检测。使用基于相关的指标也增强了对测量噪声和系统干扰的抗扰性。通过详细的仿真和实验研究，验证了该方法在不同负载和源变化下的有效性。结果表明，所提出的技术在50 hz电力系统的1.5周期内一致地识别孤岛条件，具有快速响应和高可靠性，非常适合现代变流器主导的电网。

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引用次数: 0

Asynchronous learning-based control for power systems with topological disturbances 具有拓扑扰动的电力系统异步学习控制

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-01-13 DOI: 10.1016/j.epsr.2025.112697

Weidi Cheng , Yanyan Yin , Arindam Ghosh , Shuping He , Yanqing Liu

This paper investigates the optimal control of discrete-time, single-machine, infinite-bus (SMIB) systems that are subjected to random topology changes and SCADA/relay-induced asynchronies. The system is modeled within a Markov jump system (MJS) framework to capture stochastic mode transitions caused by disturbances, such as transmission line faults. An asynchronous control architecture is adopted, accounting for mode mismatch between system and controller. To avoid the intractable analytical solution of the coupled algebraic Riccati equations (CAREs), a model-based policy iteration (PI) algorithm is proposed that guarantees convergence under the stabilizability condition. Simulation results for a two-mode SMIB case study show that the proposed controller converges within 73 iterations and maintains closed-loop mean-square stability, effectively damping electromechanical oscillations in the presence of random switching and communication delays.

本文研究了受随机拓扑变化和SCADA/继电器引起的异步影响的离散时间、单机、无限总线（SMIB）系统的最优控制。该系统在马尔可夫跳变系统（MJS）框架内建模，以捕获由干扰（如传输线故障）引起的随机模式转换。考虑到系统与控制器的模式不匹配，采用了异步控制结构。为了避免耦合代数Riccati方程（CAREs）解析解的难解性，提出了一种基于模型的策略迭代（PI）算法，保证了在稳定条件下的收敛性。双模SMIB实例研究的仿真结果表明，该控制器在73次迭代内收敛并保持闭环均方稳定性，有效地抑制了随机切换和通信延迟下的机电振荡。

引用次数: 0

Single-stage boosting inverter with differential power processor for photovoltaic system 光伏系统差分功率处理器单级升压逆变器

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-01-17 DOI: 10.1016/j.epsr.2026.112752

Ben Zhao , Haoran Cui , Na Yan , Yigeng Huangfu

The partial shading of photovoltaic (PV) modules caused by factors such as trees, clouds, and dust, as well as varying degrees of aging among PV modules, will lead to mismatched electrical characteristics of series PV modules and result in a significant power loss in the PV system. Differential power processing (DPP) converters can be employed to improve the power generation under partial shading conditions for a PV system. Nevertheless, a DPP converter is usually an additional device to the existing PV system and will introduce extra power losses and expense. In this paper, a single-stage boosting inverter (SSBI) integrated with a multi-winding type DPP converter is proposed. The functions of maximum power point tracking (MPPT), voltage step-up, inversion, and power equalization are achieved in one power stage. Only four switches are employed to achieve the above functions, resulting in a simple circuit and low cost. The feasibility of the proposed topology is verified by simulations and experiments. The experimental results show that, compared with SSBI without an integrated DPP structure, the proposed topology can have 12.83 % and 60.51 % power increment under two different partial shading conditions and good quality sinusoidal output with total harmonic distortion (THD) of 4 %.

由于树木、云层、灰尘等因素造成的光伏组件部分遮阳，以及光伏组件之间不同程度的老化，会导致串联光伏组件的电气特性不匹配，造成光伏系统的严重功率损耗。差分功率处理（DPP）变流器可用于提高光伏系统在部分遮阳条件下的发电量。然而，DPP转换器通常是现有光伏系统的附加设备，并且会带来额外的功率损失和费用。提出了一种集成多绕组型DPP变换器的单级升压逆变器（SSBI）。在一个功率级内实现了最大功率点跟踪（MPPT）、升压、逆变和功率均衡等功能。仅使用4个开关即可实现上述功能，电路简单，成本低。仿真和实验验证了所提拓扑的可行性。实验结果表明，与没有集成DPP结构的SSBI相比，所提出的拓扑在两种不同的部分遮光条件下功率分别增加12.83%和60.51%，输出质量良好，总谐波失真（THD）为4%。

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引用次数: 0

Electricity price spike forecasting via multivariate adaptive visibility graph neural networks 基于多元自适应可见性图神经网络的电价峰值预测

IF 4.2 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research

Pub Date : 2026-06-01 Epub Date: 2026-01-16 DOI: 10.1016/j.epsr.2025.112695

Tianshu Bao , Nariman Mahdavi , Chris Mccarthy , Dana Rezazadegan

Accurate forecasting of electricity price spikes is critical for energy market risk management, as these rare yet disruptive events cause substantial financial losses and arise from complex interactions among multiple market variables. An enhanced Graph Neural Network (GNN) framework is proposed that captures interdependencies among these Multivariate variables via an Adaptive Visibility Graph (MAVG) network. A hierarchical Differentiable Pooling (DiffPool) GNN architecture is then applied to coarsen this graph and forecast the next-step price spike probability. To address the extreme class imbalance inherent in spike data, a novel oversampling method called the balanced epoch sampler is also introduced. The proposed MAVG-DiffPool framework with oversampling is validated using real electricity prices from Australia under multiple spike thresholds. The framework achieves an F1-score of 0.84 under the moderate threshold. Under the extreme threshold, the framework outperformed LSTM by achieving nearly double the F1-score, demonstrating its effectiveness and robustness in addressing the challenge of spike forecasting.

准确预测电价峰值对于能源市场风险管理至关重要，因为这些罕见但具有破坏性的事件会造成巨大的经济损失，并且源于多个市场变量之间复杂的相互作用。提出了一种增强的图神经网络（GNN）框架，通过自适应可见性图（MAVG）网络捕获这些多变量之间的相互依赖关系。然后应用分层可微分池（DiffPool） GNN架构对该图进行粗化，并预测下一步的价格峰值概率。为了解决尖峰数据固有的极端类不平衡问题，本文还引入了一种新的过采样方法——平衡历元采样器。采用多个峰值阈值下的澳大利亚实际电价验证了提议的带有过采样的MAVG-DiffPool框架。在中等阈值下，该框架的f1得分为0.84。在极端阈值下，该框架的表现优于LSTM，达到f1得分的近两倍，证明了其在应对尖峰预测挑战方面的有效性和鲁棒性。

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引用次数: 0