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User Prioritization For Smart Electricity Services In Retail Market, Wei Yang, Jie Qin, Yuting Xie, Yuquan Chi, Yongjun Zhang, Runting Cheng Feb 2026

User Prioritization For Smart Electricity Services In Retail Market, Wei Yang, Jie Qin, Yuting Xie, Yuquan Chi, Yongjun Zhang, Runting Cheng

Journal of Electric Power Science and Technology

To effectively select users for smart electricity services in the context of the retail market, a user prioritization method for smart electricity services is proposed. First, according to the physical characteristics of user load data and the behavioral characteristics of transaction data, the value index system of smart electricity services is proposed from two aspects of established value and potential value. Then, based on the G1 method and the improved entropy weight method, the comprehensive weight of the evaluation index is solved, and a user prioritization method for smart electricity services is proposed, which provides a new idea for improving …

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Optimization Of Lightning Impulse Grounding Performance Of Claw-Shaped Tower Grounding Device, Zhanglei Chen, Tingfang Yang, Chao Zhuo, Gaojia Li, Minghao Feng, Xiong Li Feb 2026

Optimization Of Lightning Impulse Grounding Performance Of Claw-Shaped Tower Grounding Device, Zhanglei Chen, Tingfang Yang, Chao Zhuo, Gaojia Li, Minghao Feng, Xiong Li

Journal of Electric Power Science and Technology

Transmission line towers are prone to lightning strikes. When the grounding resistance of a tower is too high, the fault rate of the line is increased. To effectively reduce the lightning impulse grounding resistance of typical grounding devices and guide the grounding design of transmission line towers, a composite grounding device consisting of a typical tower foundation combined with a claw-shaped grounding body is proposed. A model of the claw-shaped grounding device is established using CDEGS software, and its time-domain impulse response characteristics are analyzed while considering the soil spark effect. Quantitative comparisons of the impulse grounding resistance of the …

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Local Electric Field Detection Method For Zero-Value Insulators Based On Quadcopter, Zhusheng Qiao, Sunton G Gu, Dongdong Zhang, Jicheng Yu, Ao Han, Yi Zhang, Hengdong Song Feb 2026

Local Electric Field Detection Method For Zero-Value Insulators Based On Quadcopter, Zhusheng Qiao, Sunton G Gu, Dongdong Zhang, Jicheng Yu, Ao Han, Yi Zhang, Hengdong Song

Journal of Electric Power Science and Technology

Insulators play the role of ensuring the insulation of conductors to the ground in the power system, which is an important piece of equipment for the external insulation of transmission and distribution, as well as a reliable guarantee for the safety and stability of the power system. Zero-value faults in insulators can cause serious problems in the operation of the power system. By detecting the local electric field by quadcopter, it is possible to determine whether the insulator is a zero-value unit. In order to figure out the reasonable detection distance and propose a rapid identification criterion, an insulator detection …

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Temperature Distribution Characteristics And Heat Identification Method Of Cable Intermediate Joints With Explosion-Proof Boxes, Dongdong Zhang, Huijuan Wan, Yi Zhang, Jicheng Yu, Tonghui Ye, Xinhan Qiao, Ting Jiao, Yinshan Wang, Ruoxi Wang Feb 2026

Temperature Distribution Characteristics And Heat Identification Method Of Cable Intermediate Joints With Explosion-Proof Boxes, Dongdong Zhang, Huijuan Wan, Yi Zhang, Jicheng Yu, Tonghui Ye, Xinhan Qiao, Ting Jiao, Yinshan Wang, Ruoxi Wang

Journal of Electric Power Science and Technology

The three-core cable intermediate joint is a vulnerable component of the cable system. The addition of an explosion-proof box can effectively prevent joint failure from affecting the normal operation of other cables, and also affects the surface temperature distribution of the joint. In this paper, a three-dimensional full-scale model of a 35 kV cable intermediate joint with an explosion-proof box is developed, and a multiphysics coupled simulation model based on finite element theory is established. The influence of contact resistance on the temperature of the joint inside the explosion-proof box and the influence of the gel-filled explosion-proof box on the …

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Wide-Band Oscillation Analysis Method For Grid-Connected Distributed Photovoltaics With High Penetration Rate, Di Zhang, Mingyang Liu, Junpeng Chen, Ze Gao, Hua Wang, Haoyu Tan, Shihong Miao Feb 2026

Wide-Band Oscillation Analysis Method For Grid-Connected Distributed Photovoltaics With High Penetration Rate, Di Zhang, Mingyang Liu, Junpeng Chen, Ze Gao, Hua Wang, Haoyu Tan, Shihong Miao

Journal of Electric Power Science and Technology

With the continuous increase in the penetration rate of distributed photovoltaics (PV) in the distribution network, the impact of power electronic equipment represented by grid-connected inverters on the power grid is increasing, and the risk of wide-band oscillation in the power grid is intensifying. However, few existing studies have proposed wide-band oscillation stability criteria to meet the safe operation of grid-connected distributed PV with a high penetration rate, so that effective suppression measures cannot be taken. In view of this, an analysis method for wide-band oscillation under grid-connected distributed PV with a high penetration rate based on the equivalent model …

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Coordinated Optimization Strategy Of Integrated Energy System Based On Dynamic Deviation Igdt, Huajun Ran, Daiqiang Yang, Youchun Gan, Can Wang, Mingchao Wang, Jun Zheng, Fang Huang Feb 2026

Coordinated Optimization Strategy Of Integrated Energy System Based On Dynamic Deviation Igdt, Huajun Ran, Daiqiang Yang, Youchun Gan, Can Wang, Mingchao Wang, Jun Zheng, Fang Huang

Journal of Electric Power Science and Technology

To improve the wind power accommodation rate and reduce the cost of hydrogen energy use and system-level carbon emissions, this paper proposes a coordinated optimization strategy for an integrated energy system (IES) based on information gap decision theory (IGDT) with dynamic deviation. First, a hybrid hydrogen production system and an oxy-fuel combustion capture system are introduced into the IES, and an IES model incorporating the hybrid hydrogen production and oxy-fuel combustion capture system is constructed. Second, a system scheduling model for deterministic scenarios is established with the objective of minimizing the total operating cost. In addition, an IGDT decision model …

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Charging Optimization And Regulation Strategy For Electric Vehicles Considering Photovoltaic Power Prediction, Shuanglin Song, Zhaoxing Ma, Jing Wang, Ji Li, Ruihua Wang Feb 2026

Charging Optimization And Regulation Strategy For Electric Vehicles Considering Photovoltaic Power Prediction, Shuanglin Song, Zhaoxing Ma, Jing Wang, Ji Li, Ruihua Wang

Journal of Electric Power Science and Technology

The widespread adoption of electric vehicles and distributed power sources poses new challenges to power systems, as increased volatility and uncertainty in both load demand and power supply place greater pressure on distribution network operation. To address these challenges, an electric vehicle charging control strategy considering photovoltaic power accommodation is proposed. First, the Monte Carlo method is employed to simulate and analyze the electricity consumption characteristics and charging behaviors of electric vehicle users. Second, a photovoltaic power generation forecasting model is developed based on gated recurrent unit networks. Finally, an orderly charging control strategy for electric vehicles is proposed, with …

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A Distributed Photovoltaic Power Anomaly Perception Method Based On Kpca-Optics Clustering, Sheng Su, Xiong Li, Zhiqiang Li, Changjiang Wu, Zhuo Peng Feb 2026

A Distributed Photovoltaic Power Anomaly Perception Method Based On Kpca-Optics Clustering, Sheng Su, Xiong Li, Zhiqiang Li, Changjiang Wu, Zhuo Peng

Journal of Electric Power Science and Technology

In response to the lack of professional monitoring and difficulty in accurately locating abnormal sites in distributed photovoltaic power stations, a distributed photovoltaic power anomaly perception method is proposed based on kernel principal component analysis-ordering points to identify the clustering structure (KPCA-OPTICS) clustering, with the help of the similarity and correlation of nearby distributed photovoltaic power station output. Firstly, based on the output data of photovoltaic power stations, the OPTICS clustering algorithm is used to cluster multiple power stations. The KPCA is then employed to perform dimensionality reduction on the clustering data to lower the influence of high-dimensional data on …

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Grounding Device With Induced Arc Suppression Function Based On Series Resonant Circuit, Yunhao Shu, Zhenghua Su, Shubin Hou, Yuhan Qian, Zhenjia Shen, Zheng Gong Feb 2026

Grounding Device With Induced Arc Suppression Function Based On Series Resonant Circuit, Yunhao Shu, Zhenghua Su, Shubin Hou, Yuhan Qian, Zhenjia Shen, Zheng Gong

Journal of Electric Power Science and Technology

In a strong electromagnetic induction environment, the outage line in the double-circuit line on the same tower will produce induced voltage and induced current. The arc generated when the ground wire is manually installed will seriously affect the safe operation of the equipment. Therefore, this paper proposes a grounding device with induced arc suppression function, which improves the ordinary grounding device by utilizing a series resonant circuit. Firstly, the calculation formula of induced electricity of the double-circuit line on the same tower is deduced theoretically. The working principle of the series resonant grounding device with arc suppression function is analyzed, …

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Voltage Balancing Method For Single Energy Storage System In Bipolar Dc Microgrid, Laixin Guo, Zhi Li, Lei Xie, Penghui Han Feb 2026

Voltage Balancing Method For Single Energy Storage System In Bipolar Dc Microgrid, Laixin Guo, Zhi Li, Lei Xie, Penghui Han

Journal of Electric Power Science and Technology

The development of distributed energy resources brings significant advantages to bipolar DC microgrids. Due to load asymmetry, voltage imbalance may occur between the positive and negative poles of a bipolar DC microgrid. Voltage balancers have therefore been introduced and are generally classified into centralized and distributed configurations. A centralized voltage balancer cannot address voltage imbalance caused by long-distance power lines or terminal loads, while a distributed voltage balancer increases system cost due to the construction of additional facilities. To overcome these drawbacks, energy storage systems can be integrated into bipolar DC microgrids. However, this approach requires separate installation at each …

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Evaluation Of Impact Of High-Energy-Consuming Industries On Carbon Emissions And Carbon Market Based On Neural Ode-Cge Model, Chengjun Huo, Xueting Cheng, Jinkui Liu, Peng Zou, Jun Wan, Jia Wu Feb 2026

Evaluation Of Impact Of High-Energy-Consuming Industries On Carbon Emissions And Carbon Market Based On Neural Ode-Cge Model, Chengjun Huo, Xueting Cheng, Jinkui Liu, Peng Zou, Jun Wan, Jia Wu

Journal of Electric Power Science and Technology

High-energy-consuming industries represent the primary source of carbon emissions in China, which makes the reduction of their carbon emissions a critical priority for the country's carbon emission reduction efforts. However, due to the lack of robust carbon emission constraint mechanisms targeting these industries, their motivation for emission reduction remains significantly insufficient. To address this issue, this paper proposes a simulation method that integrates neural ordinary differential equations (Neural ODE) with a computable general equilibrium (CGE) model. Using input-output data from 2022 at the national and provincial levels, this method constructs a baseline scenario and three emission reduction scenarios to assess …

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Anomaly Sound Detection Of High-Voltage Shunt Reactors Based On Soft-Constrained Latent Regularized Adversarial Learning, Zhihong Wang, Fuqiang Xiong, Jiawen Zuo, Mingzhu Tang, Jianjun Zhang, Xingyu Tang Feb 2026

Anomaly Sound Detection Of High-Voltage Shunt Reactors Based On Soft-Constrained Latent Regularized Adversarial Learning, Zhihong Wang, Fuqiang Xiong, Jiawen Zuo, Mingzhu Tang, Jianjun Zhang, Xingyu Tang

Journal of Electric Power Science and Technology

With the widespread application of high-voltage shunt reactors in power systems, abnormal phenomena arising during their operation have attracted increasing attention. In existing latent regularization adversarial anomaly detection (LRAAD) methods, the hyperparameter M imposes a hard constraint on the upper bound of the KL divergence of generator-produced spectrograms, which hampers the model's ability to effectively distinguish normal from abnormal data in the latent space, leading to training instability and degraded anomaly detection performance. To address this issue, this paper proposes a soft-constrained latent regularization adversarial anomaly detection (Soft-LRAAD) method. The proposed method introduces a soft constraint loss to replace the …

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Research On Detection And Localization Of Defect Discharge In Switchgear Based On Fusion Of Acoustic Array, Ultra-High Frequency, Andtransient Earth Voltage, Yingjing Chen, Shenjiong Yao, Jialuo Chai, Tongtong Lu, Bintong Li, Zhousheng Zhang Feb 2026

Research On Detection And Localization Of Defect Discharge In Switchgear Based On Fusion Of Acoustic Array, Ultra-High Frequency, Andtransient Earth Voltage, Yingjing Chen, Shenjiong Yao, Jialuo Chai, Tongtong Lu, Bintong Li, Zhousheng Zhang

Journal of Electric Power Science and Technology

To achieve efficient classification and three-dimensional (3D) localization of partial discharge (PD) in switchgear, an integrated circular array sensor combining three types of signals, namely transient earth voltage (TEV), ultra-high frequency (UHF), and acoustic array (AA), is designed. A multimodal fusion classification model and an improved nonlinear crested porcupine optimizer (CPO) algorithm are proposed. First, a sensor system with multi-channel acquisition capability is constructed through structural integration and performance testing. Second, a neural network model is built based on nine-dimensional time-frequency domain features to achieve accurate classification of multiple types of discharge defects. Finally, a time delay extraction method combining …

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Depression, Education, And Quality Of Life In Women With Endometriosis, Ria N. Gajar Feb 2026

Depression, Education, And Quality Of Life In Women With Endometriosis, Ria N. Gajar

Walden Dissertations and Doctoral Studies

Endometriosis is a chronic gynecologic condition associated with physical, psychological, and social burden. Guided by Engel’s biopsychosocial model, this study examined associations between depressive symptoms and general, physical, and mental health-related quality of life (HRQoL) among U.S. women aged 20–54 years with self-reported physician-diagnosed endometriosis. Data came from the 2005–2006 National Health and Nutrition Examination Survey. The analytic domain included 104 women; complete-case samples for the general and physical analyses included 102. Survey-weighted logistic regression accounted for the complex survey design and covariates. Elevated depressive symptoms were associated with higher adjusted odds of fair or poor general health (aOR = …

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Improving Ground Cover Crop Fractional Vegetation Mapping Via Causality-Based Deep Representation Learning, Atif Latif, Masoumeh Hashemi, Matt Yost, Somayeh Esmaeili, Xiaojun Qi Feb 2026

Improving Ground Cover Crop Fractional Vegetation Mapping Via Causality-Based Deep Representation Learning, Atif Latif, Masoumeh Hashemi, Matt Yost, Somayeh Esmaeili, Xiaojun Qi

Computer Science Student Research

Semantic segmentation and deep learning methods have rarely been applied to fractional vegetation cover (FVC) segmentation tasks due to the lack of publicly available datasets for training deep learning models. FVC is a key indicator for assessing vegetation distribution, crop density, and crop responses to water availability and fertilizer application, yet conventional field-based measurement methods are time consuming, costly, labor intensive, and may lack the accuracy required for critical applications such as drought stress evaluation and water productivity. In this paper, we introduced causality-based deep learning techniques for FVC segmentation on a publicly available RGB dataset that consists of four …

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Improved Unet++-Based Approach For Multi-State Appliance Load Disaggregation, Gui Gu, Jiangliang Jin, Liangliang Hao, Qisheng Huang Feb 2026

Improved Unet++-Based Approach For Multi-State Appliance Load Disaggregation, Gui Gu, Jiangliang Jin, Liangliang Hao, Qisheng Huang

Journal of Electric Power Science and Technology

Nowadays, non-intrusive load disaggregation techniques face two major challenges. First, it is difficult to effectively extract the power characteristics of multi-state appliances in low-power states. Second, the generalization capability of disaggregation models is insufficient. To address these two challenges, an improved Unet++-based approach for multi-state appliance load disaggregation is proposed. First, within the encoder-decoder framework, a parallel-structured encoder is adopted to enhance the parsing capability of complex power signals, while skip connections ensure that the decoder can accurately reconstruct the original signal, thus improving the refinement of the disaggregation. Second, a bidirectional long short-term memory (BiLSTM) module is introduced to …

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Small Object Defect Detection Of Insulators Based On Yolo-Insulator Model In Complex Background, Penglin Dong, Jiupeng Chen, Sen Wang, Hongjun San, Hongwei Hu Feb 2026

Small Object Defect Detection Of Insulators Based On Yolo-Insulator Model In Complex Background, Penglin Dong, Jiupeng Chen, Sen Wang, Hongjun San, Hongwei Hu

Journal of Electric Power Science and Technology

Computer vision-based methods for insulator defect detection from aerial images are widely used in power inspection. To address missed and false detections caused by complex backgrounds and small target scales, a YOLO-insulator defect detection model is proposed to improve detection accuracy. First, the reparameterized convolution based on channel shuffle-one-shot aggregation (RCS-OSA) is introduced to replace the traditional two-dimensional convolution C2f, thus enhancing the network's feature extraction capability. In the neck network, the RCS-OSA module is used to replace some of the C2f convolutions, and the squeeze-and-excitation network (SENet) is introduced to enhance the model's ability to capture inter-channel relationships and …

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Table Of Contents, Cleveland State Law Review Feb 2026

Table Of Contents, Cleveland State Law Review

Cleveland State Law Review

No abstract provided.

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Student Senate Meeting Minutes February 11, 2026, Student Senate-Winona State University Feb 2026

Student Senate Meeting Minutes February 11, 2026, Student Senate-Winona State University

Student Senate Meeting Minutes

This document is the official Winona State University Student Senate Minutes for February 11, 2026.

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Tammy Knieling V. Don Fook Feb 2026

Tammy Knieling V. Don Fook

2026 Decisions

USDC for the District Court of the Virgin Islands

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John Butler V. Kanjorski Feb 2026

John Butler V. Kanjorski

2026 Decisions

USDC for the Middle District of Pennsylvania

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Tammy Knieling V. Don Fook Feb 2026

Tammy Knieling V. Don Fook

2026 Decisions

USDC for the District Court of the Virgin Islands

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John Butler V. Kanjorski Feb 2026

John Butler V. Kanjorski

2026 Decisions

USDC for the Middle District of Pennsylvania

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Sullivan County 4-H Presents! 2026, Lynn Brewer Feb 2026

Sullivan County 4-H Presents! 2026, Lynn Brewer

UNH Cooperative Extension

No abstract provided.

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February 11, 2026, Bcac Feb 2026

February 11, 2026, Bcac

Booth Collaborative Advisory Committee Minutes

No abstract provided.

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Mississippi Arts Commission Funds Writer Studio At Greenfield Farm, Marvis Herring Feb 2026

Mississippi Arts Commission Funds Writer Studio At Greenfield Farm, Marvis Herring

University of Mississippi News

OXFORD, Miss. – The Mississippi Arts Commission has awarded a $500,000 grant to the University of Mississippi Research Foundation for construction of an overnight writer studio for the university's forthcoming Greenfield Farm Writers Residency.

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The Lumberjack, February 11, 2025 Feb 2026

The Lumberjack, February 11, 2025

Cal Poly Humboldt's Student Newspaper

The student newspaper of Humboldt State University.

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Landscape Services Team Plays Key Role In Ice Storm Recovery, Carter Diggs Feb 2026

Landscape Services Team Plays Key Role In Ice Storm Recovery, Carter Diggs

University of Mississippi News

OXFORD, Miss. – Like thousands of people across north Mississippi, Nathan Lazinsky lay awake the night of Jan. 24, listening to trees snap and limbs crash to the ground in the woods surrounding his Lafayette County home.

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Evaluating Partisan Registrations Amid The Electronic Registration Information Center Controversy, Jared Mcdonald, Alauna Safarpour, Michael Hanmer, Lisa Bryant Feb 2026

Evaluating Partisan Registrations Amid The Electronic Registration Information Center Controversy, Jared Mcdonald, Alauna Safarpour, Michael Hanmer, Lisa Bryant

Political Science Faculty Publications

Election integrity is paramount to democratic health. The Electronic Registration Information Center (ERIC) is a multistate collaboration that facilitates essential election administration functions, whereby members share administrative data to ensure clean voter registration lists and to encourage individuals who are eligible but unregistered (EBUs) to register to vote. Despite ERIC’s primary focus on maintaining the accuracy of voter rolls, in 2022, some conservatives accused it of being a tool for partisan electioneering, prompting nine Republican-led states to leave ERIC. To assess the validity of a central criticism made against ERIC, the authors leverage field experiments conducted by member states during …

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From Presumed Intent To Programmed Performance: Smart Contracts And The Future Of Contract Law, Amir Bushansky Feb 2026

From Presumed Intent To Programmed Performance: Smart Contracts And The Future Of Contract Law, Amir Bushansky

Cleveland State Law Review

Smart contracts—self-executing agreements operating on decentralized blockchain networks—challenge the fundamental assumptions underlying traditional contract law. This Article challenges the prevailing scholarly approach that seeks to reshape smart contracts to fit existing doctrinal frameworks. Instead, it argues for adapting contract law itself to better accommodate smart contracts, given their unique advantages in cyberspace. Building on two complementary premises—that contract law primarily operates as “mimicking law,” reflecting the presumed expectations and preferences of contracting parties, and that default rules function as behavioral reference points that shape party behavior—the Article develops a positive theory predicting the expectations and preferences of parties entering into …

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