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Hybrid Configuration Method For Grid-Forming And Grid-Following Energy Storage Systems Considering Transient Stability And Dynamic Support, Baoyu Zhai, Shuchao Liang, Zh I Xu, Huan Jiang, Haiyang Wu Feb 2026

Hybrid Configuration Method For Grid-Forming And Grid-Following Energy Storage Systems Considering Transient Stability And Dynamic Support, Baoyu Zhai, Shuchao Liang, Zh I Xu, Huan Jiang, Haiyang Wu

Journal of Electric Power Science and Technology

With the significant increase in the proportion of renewable energy, power systems exhibit characteristics of low inertia and weak damping, posing challenges to transient stability. Traditional grid-following energy storage systems (GFL-ESS) lack the capability to autonomously support the operation of power systems, necessitating the configuration of grid-forming energy storage systems (GFM-ESS) to provide voltage support and enhance system stability. To address these issues, this paper investigates the proportion of GFM-ESS units required to effectively improve the transient stability and dynamic support capabilities of the system. First, a transient model of the hybrid grid-following (GFL) and grid-forming (GFM) system is developed …

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Transmission Line Protec Tion Method Based On Time-Frequency Analysis Matr Ix And Bp Neural Network, Jifeng Fan, Yongqiang Wang, Tianlong Zhang, Peng Chen, Yunfeng Yan Feb 2026

Transmission Line Protec Tion Method Based On Time-Frequency Analysis Matr Ix And Bp Neural Network, Jifeng Fan, Yongqiang Wang, Tianlong Zhang, Peng Chen, Yunfeng Yan

Journal of Electric Power Science and Technology

To address the misoperation and failure issues of existing transient protection schemes for high-voltage transmission lines, this paper proposes a transmission line protection method that combines a back propagation (BP) neural network with the time-frequency matrix of transient voltage signals. Transient protection of transmission lines is implemented based on the time-frequency analysis matrix obtained through a one-dimensional continuous wavelet transform of fault-induced voltage traveling waves. According to the existing fault voltage traveling wave data or simulated fault voltage traveling wave data, the time-frequency matrix is obtained by time-frequency analysis. The part with obvious time-frequency characteristics is taken as the input …

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Multiformer-Tsa-Based Photovoltaic Power Forecasting Method, Ziwen Cai, Zhukui Tan, Yun Zhao, Yuelang Zhang, Xipeng Liu, Houyi Zhang Feb 2026

Multiformer-Tsa-Based Photovoltaic Power Forecasting Method, Ziwen Cai, Zhukui Tan, Yun Zhao, Yuelang Zhang, Xipeng Liu, Houyi Zhang

Journal of Electric Power Science and Technology

To address the limitations of current photo voltaic power forecasting methods, which rely heavily on meteorological monitoring and classification techniques and are unable to achieve accurate all-weather forecasting under large-scale complex data, a Multiformer-TSA method based on a two-stage attention (TSA) mechanism is proposed for photovoltaic power forecasting. First, a cross-scale embedding layer is constructed to generate staged sampling tokens and collect photovoltaic sequences at different scales, thus extracting cross-scale features. Then, point-based segments of different dimensions in multivariate time series are embedded to form new feature vectors, capturing cross-dimensional dependencies. Finally, cross-scale and cross-dimensional dependency information is fused through …

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Frequency Regulation Method Of Wind-Storage Coordination Considering Differences In Wind Turbine State, Xilin Zhao, Xiaoyu Ye, Jinxing Li Feb 2026

Frequency Regulation Method Of Wind-Storage Coordination Considering Differences In Wind Turbine State, Xilin Zhao, Xiaoyu Ye, Jinxing Li

Journal of Electric Power Science and Technology

To address the issue of frequency stability in power systems under large-scale wind power grid integration, a frequency regulation control method of wind-storage coordination considering the differences in wind turbine states is proposed. Initially, a power system model incorporating wind power is constructed, with model predictive control (MPC) as the primary controller to optimize the output of the wind turbines. Then, on this basis, considering the differences in wind turbine state, the state consistency control (SCC) method is introduced to address the problem of online computational complexity arising from uniform control of all wind turbines via MPC, thereby reducing the …

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Stability Analysis Of Fractional-Frequency Offshore Wind Power System Based On Lyapunov Energy Function, Yumeng Jiang, Peiyang He, Ruanming Huang, Wei Xie, Chen Qian, Boyang Zhao, Yongqing Meng Feb 2026

Stability Analysis Of Fractional-Frequency Offshore Wind Power System Based On Lyapunov Energy Function, Yumeng Jiang, Peiyang He, Ruanming Huang, Wei Xie, Chen Qian, Boyang Zhao, Yongqing Meng

Journal of Electric Power Science and Technology

The fractional-frequency transmission method has become an important solution for large-scale long-distance offshore wind power collection and transmission due to its advantages in transmission losses and construction costs compared with power frequency and direct current transmission methods. However, the stability research of fractional-frequency offshore wind power systems, especially the analysis under the background of typical large disturbances in system operation, is lacking. A high-order nonlinear state space model of the fractional-frequency offshore wind power system is proposed, and the sector-based nonlinear method is used to deal with the high-order nonlinear part of the model; the Lyapunov energy function of the …

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Phase Selection Capacity Recovery Strategy For Full-Scale New Energy Grid Based On Coordinated Control And Protection, Lin Zhang, Hongbin Wang, Xun Chen, Xiangning Lin, Zhengtian Li, Fanrong Wei Feb 2026

Phase Selection Capacity Recovery Strategy For Full-Scale New Energy Grid Based On Coordinated Control And Protection, Lin Zhang, Hongbin Wang, Xun Chen, Xiangning Lin, Zhengtian Li, Fanrong Wei

Journal of Electric Power Science and Technology

The negative-sequence suppression control strategy and low-voltage ride-through control strategy are adopted when the inverter-based power supply fails, which leads to a serious inequality between the distribution coefficients of positive- and negative-sequence currents at the energy storage station side in a full-scale new energy system, resulting in incorrect phase selection of the phase current difference mutation element. Based on the fault sequence component network, the constraint condition for the correct phase selection of the phase current difference mutation element is derived. A phase selection performance recovery scheme based on fault component regulation is proposed, which can eliminate the degradation of …

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State Estimation Of Supercapacitor Based On Transient Model, Shuang Rong, Xiaog Uang Chen, Wanlin Guan, Wenbo Hao, Yuanting Hu, Yanlong Liu, Jiandong Duan, Yuhan Wang Feb 2026

State Estimation Of Supercapacitor Based On Transient Model, Shuang Rong, Xiaog Uang Chen, Wanlin Guan, Wenbo Hao, Yuanting Hu, Yanlong Liu, Jiandong Duan, Yuhan Wang

Journal of Electric Power Science and Technology

The multi-branch model of a supercap acitor can accurately describe the charge and discharge characteristics of a supercapacitor, but it is difficult to obtain the exact parameters when it is used to estimate the state of the supercapacitor, resulting in large errors in the state estimation results. In order to improve the accuracy of supercapacitor parameter identification and state estimation in the transient process, a state estimation algorithm combining an extended Kalman filter (EKF) and an adaptive unscented Kalman filter (AUKF) based on a transient model is proposed. Firstly, the model simplification feasibility in the case of fast charge and …

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Optimal Load Distribution Method For Substations Based On Inter-Line Correlations, Ziqi Liu, Yin Zhai, Kuilin Fu, Shuran Liu, Wei Li, Xinyu Qie, Shiguang Zhan, Lili Chen Feb 2026

Optimal Load Distribution Method For Substations Based On Inter-Line Correlations, Ziqi Liu, Yin Zhai, Kuilin Fu, Shuran Liu, Wei Li, Xinyu Qie, Shiguang Zhan, Lili Chen

Journal of Electric Power Science and Technology

As the construction of new power systems advances, the spatio-temporal mismatch between the output of intermittent renewable energy and diversified load exacerbates the peak-valley difference in power grids, leading to an increased load rate of main transformers and a decline in load balance of each transformer within substations. This operational trend accelerates the risk of equipment aging and poses potential threats to the safe and stable operation of the power grid through hierarchical coupling effects. To address this issue, based on the hierarchical partition operation characteristics of substations and the spatio-temporal coupling relationship of outgoing line loads, a multidimensional evaluation …

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Optimized Operation Of Integrated Energy System With Underwater Compressed Air Energy Storage Based On Power And Heat Storage, Shuai Shi, Xiaomeng Lu, Yuanyuan Li, Chunyang Gong, Wei Song, Xiaoliang Wang Feb 2026

Optimized Operation Of Integrated Energy System With Underwater Compressed Air Energy Storage Based On Power And Heat Storage, Shuai Shi, Xiaomeng Lu, Yuanyuan Li, Chunyang Gong, Wei Song, Xiaoliang Wang

Journal of Electric Power Science and Technology

At present, underwater compressed air energy storage (UW-CAES) is mainly used in isolated island power grids of islands or ports. Firstly, inland abandoned mine pit lakes are utilized to establish large-scale UW-CAES gas storage chambers, and an integrated energy system on land with UW-CAES is constructed. Secondly, a new heat supply mode is proposed, which realizes the power and heat storage integration of the energy storage system through the coordination of heat supply between the heat storage tank and the heat pump. Finally, the effects of operating cost, system benefit, wind power consumption, and low-carbon emissions of the integrated energy …

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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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Association Between Environmental Exposures To Perfluoroalkyl And Polyfluoroalkyl Substances And Military Veterans Cancer Determination, Stephen A. Pereira Jr Feb 2026

Association Between Environmental Exposures To Perfluoroalkyl And Polyfluoroalkyl Substances And Military Veterans Cancer Determination, Stephen A. Pereira Jr

Walden Dissertations and Doctoral Studies

This study involved evaluating whether cumulative exposure to perfluoroalkyl and polyfluoroalkyl substances (PFAS) was associated with kidney cancer, bladder cancer, and adult leukemia among U.S. veterans. Pooled National Health and Nutrition Examination Survey (NHANES) data from 2005–2015 were analyzed for sample of 2,500 veterans with available serum PFAS measurements and physician-diagnosed cancer histories. This study employed a cross-sectional, correlational design grounded in a post-positivist paradigm. Inclusion required complete data for (a) serum PFAS concentrations, (b) kidney cancer, bladder cancer, and adult leukemia, and (c) covariates age, sex, race/ethnicity, smoking status, and body mass index. Cumulative PFAS was modeled as a …

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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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A Taxonomic Overview Of The Apodemia Mormo Complex From A Genomic Perspective, Jing Zhang, Qian Cong, Jinhui Shen, Leina Song, Nick V. Grishin Feb 2026

A Taxonomic Overview Of The Apodemia Mormo Complex From A Genomic Perspective, Jing Zhang, Qian Cong, Jinhui Shen, Leina Song, Nick V. Grishin

The Taxonomic Report of the International Lepidoptera Survey

Genomic analysis of the Apodemia mormo group (Riodinidae Grote, 1895 (1827)) specimens across the range from southwestern Canada through much of the western USA and northwestern Mexico, complemented by phenotypic examination and photographs of live individuals to inspect eye color, partitions the complex into eight species, one of which is proposed as new: Apodemia (Apodemia) apache Grishin, sp. n. (type locality in USA: Arizona, Apache Co.), and three elevated from subspecies of A. mejicanus: Apodemia (Apodemia) maxima (Weeks, 1891), stat. rest., Apodemia (Apodemia) deserti W. Barnes & McDunnough, 1918, stat. nov., and Apodemia ( …

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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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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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Rewriting Betrayal: The Political Memory Of Andrei Vlasov And His Russian Liberation Army, Christian N. Adams Feb 2026

Rewriting Betrayal: The Political Memory Of Andrei Vlasov And His Russian Liberation Army, Christian N. Adams

Departmental Honors & Graduate Capstone Projects

This study examines the evolving historiography of Andrei Vlasov and the Russian Liberation Army (ROA) from the end of World War II to the post-Soviet era. Drawing on Soviet, émigré, and Western sources, it traces how interpretations of Vlasov’s defection reflected shifting moral and political frameworks in Russia’s collective memory. The analysis demonstrates that portrayals of Vlasov, from Stalinist condemnations to post-Soviet reappraisals, mirror the state’s changing relationship to patriotism, legitimacy, and dissent. By comparing Cold War scholarship with contemporary Russian debates, this paper argues that the Vlasov question endures not because of mere intrigue, but because it embodies the …

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Editorial: Unveiling The Next Generation Of Cancer Immunity & Immunotherapy, Mohanraj Sadasivam, Nethaji Muniraj, Chellappagounder Thangavel Feb 2026

Editorial: Unveiling The Next Generation Of Cancer Immunity & Immunotherapy, Mohanraj Sadasivam, Nethaji Muniraj, Chellappagounder Thangavel

Center for Translational Medicine Faculty Papers

[This corrects the article DOI: 10.3389/fimmu.2025.1769324.].

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