Digital Commons Network^™

Phase Recognition Of Low-Voltage Distribution Network Based On Locally Linear Embedding And Gaussia N Mixture Model Algorithms, Jiayao Hong, Xiangyang Xia, Yunfei Lei, Zejian Yi, Hanqin Zhu, Xiaozhong Hu

Journal of Electric Power Science and Technology

In order to solve the problem of inaccurate user phase recognition in low-voltage station areas, a phase recognition method based on local linear embedding (LLE) dimensionality reduction and Gaussian mixture model (GMM) clustering algorithm based on user voltage data is proposed. In this method, the voltage data in the smart meter of the user in the station area is extracted firstly, and the principal component analysis (PCA) method is used to achieve noise reduction and redundancy. Then, the derivative dynamic time warping (DDTW) method is employed to measure the correlation between user voltages. The LLE dimensionality reduction is used to …

Study On Anomaly Data Detection Of Voltage In Transformer District Of Distribution Network Based On Tfec-Inne, Junsheng Zou, Xiu Yang, Gaiping Sun, Fan Yang, Jun Liu, Bingbing Lu

Journal of Electric Power Science and Technology

A large amount of anomaly data of voltage can be generated during the transformer district operation of distribution network. These anomaly data cannot correctly reflect the operating conditions of the distribution network and can seriously affect the analysis of the voltage characteristics of the transformer district. Therefore, anomaly detection of the voltage operation data in the transformer district is of great significance. Due to the problem of low accuracy of traditional anomaly detection methods, an algorithm, combining trimmed window feature extraction clustering (TFEC) and isolation-based anomaly detection using nearest-neighbor ensembles (INNE), is proposed. The daily features of the initial data …

Method For Anomaly Detection Of Converter Valve Voiceprints Based On Improved Denoising Auto-Encoder, Yisheng Yu, Zhihong Wang, Yunya Zhou, Zhanfan Zhou, Yu Yan, Yu Yu, Mingzhu Tang

Journal of Electric Power Science and Technology

The converter valve, as a key equipment in high-voltage direct current transmission converter stations, may experience an abnormal state when operated for a long time. To address the problem that non-intrinsic background noise in the valve hall may cause voiceprint anomalies and unstable anti-noise performance of the converter valve, an anomaly detection method for the converter valve based on voiceprint signal filter banks (Fbank) features and an improved denoising auto-encoder (IDAE) is proposed. Firstly, the voiceprint data generated during the operation of the converter valve is collected; the Fbank features of the voiceprint data are extracted; the samples containing temporal …

Analysis Method Of Impact Of Complex Electromagnetic Signals On Measurement Errors In Single-Phase Electric Energy Meters, Hongtao Shen, Chong Li, Hao Wang, Juchuan Guo, Penghe Zhang, Cong Wang

Journal of Electric Power Science and Technology

In complex electromagnetic environments, the diverse array of electromagnetic interference signals with varying modulation schemes leads to degraded performance in single-phase electric energy meters. With the random and dynamic characteristics of complex electromagnetic signals, a parametric model is established for m-sequence dynamic test signals. Subsequently, a structured measurement model for single-phase electric energy meters and a mathematical model for the impact of electromagnetic signals on single-phase electric energy meter errors are developed. The impact of electromagnetic signals on random interference in electric energy meters is then simulated. Finally, through simulation and experimental tests, the impacts of electromagnetic signals on measurement …

Default Risk Prediction Model Of Power Trading Service Fees In Spot Market, Wei Yang, Qi Shi, Zhijian Zeng, Xueliang Gong, Jiaxun Liu, Xinlei Wang

Journal of Electric Power Science and Technology

With the further reform of the electricity market in China, electricity trading platforms are confronted with more types of market participants, more categories of trading services, and higher trading frequencies. As the core trading intermediary, power trading institutions bear a great number of operating and management costs and face an increasing trading credit risk, namely the risk that market participants may fail to fulfill their contractual obligations on time. The credit risk resides in trading accounts and is closely related to market fluctuations and the financial status of market users. This paper introduces the traditional credit risk measurement model in …

Research On Transformer Fa Ult Pattern Recognition Based On Double-Layer Xgboost Algorithm Optimiz Ed By Borderline Smote And Ngo, Youcai Li, Weilong Peng, Yuming Zhou, Qiyan Li, Cheng Zeng, Xin Yang

Journal of Electric Power Science and Technology

To enhance the diagnostic accuracy of transformer fault, raise the efficiency of model recognition, and mitigate the adverse effects of imbalanced samples on transformer fault recognition models, a transformer fault pattern recognition model with double-layer extreme gradient boosting (XGBoost) based on borderline synthetic minority over-sampling technique (BSMOTE) and northern goshawk optimization (NGO) algorithms is proposed. Firstly, BSMOTE is used to expand minority class samples, and a balanced dataset is obtained. Secondly, the noncoding ratio method is used to establish multi-dimensional feature quantities, and XGBoost is used to determine the optimal feature subset. Then, an NGO algorithm is used to optimize …

Method For Enhancing Distribution Network Resilience Under Typhoon Disasters Based On Multi-Scale Attention Mechanisms And Multi-Resource Coordinated Optimization, Guilian Wu, Naixuan Zhu, Hao Chen, Nuoling Sun, Jinlin Liao

Journal of Electric Power Science and Technology

In recent years, the increasing frequency of extreme weather events poses a serious threat to the secure operation of distribution networks. To improve the accuracy of typhoon-induced hazard intensity forecasting, an LSTM network enhanced with multi-scale attention (LSTM-MSA) is developed, which overcomes the deficiency of the traditional LSTM model that cannot capture the local attention mechanism. Building on this, a resilience-enhancement strategy is proposed that coordinates diverse flexible resources, including line reinforcement, tie-switch operation, wind power generation, and energy storage system control, to mitigate the impacts of typhoon disasters on the distribution network. Case studies on the IEEE 33-node and …

Weak Point Identification And Risk Assessment Of Distributed Photovoltaic Access To Distribution Network Based On Time-Varying Copula Function, Huanhuan Ye, Linjun Zeng, Qin Yan

Journal of Electric Power Science and Technology

With the continuous development of distributed photovoltaic (PV), the risk of voltage limit violation and the problem of power quality degradation in the distribution network are becoming increasingly serious. Therefore, a method of weak point identification for distributed PV access to the distribution network based on the time-varying Copula function is proposed, and risk assessment is performed on it. The correlation of distributed PV output is analyzed to identify vulnerabilities in power system component states, and the distribution network reliability is enhanced. First, a time-varying Gaussian Copula function is employed to analyze the force output correlation of distributed PV, achieving …

Power Quality Disturbance Recognition Method Based On Spectrogram And Lightweight 2d-Dscnn, Yongqiang Liu, Ng Jinmei Wa, Xuetao Guan, Feng Li

Journal of Electric Power Science and Technology

In response to difficulties in ac curately classifying and recognizing complex power quality disturbance (PQD) signals, this paper proposes a novel PQD recognition method based on spectrogram and lightweight two-dimensional (2D) depth-separable convolutional neural network (2D-DSCNN). Time-frequency analysis is applied to convert PQD signals into spectrograms, so that complex signal data is presented in the form of images. A lightweight 2D-DSCNN model is constructed by using depth-separable convolution technology, and the spectrograms corresponding to different PQD signals are classified and identified. The feasibility and effectiveness of the proposed method are verified through simulation experiments. The experimental results show that the …

Prediction Model For Power Quality Of Distribution Networks Based On Temporal Fusion Transformer, Xiao'e Hou, Ning Wang, Shaoan Shou, Fu Li, Jie Zhang, Wenting Wei

Journal of Electric Power Science and Technology

Anomaly detection of power quality is crucial for the reliable operation of the distribution network, and its accuracy is directly related to the stability and security of the power grid system. In practice, it is not only time-consuming and laborious to analyze the anomaly in the field by manpower but also impossible to manage the anomaly in advance. To this end, a prediction model for power quality anomaly of distribution networks, which combines feature screening, signal decomposition, and an attention-based deep neural network, is proposed. First, the fast correlation-based filter (FCBF) algorithm based on maximal information coefficient (MIC) is combined …

Peer-To-Peer Electricity Trading Method Considering Supply-Demand Relationship Tariffs And Tariff Time Period Division, Renjun Zhou, Xin Peng, Jingjie Huang, Xiaojiao Tong

Journal of Electric Power Science and Technology

A two-layer optimization model of a leader-follower game is constructed for peer-to-peer electricity trading between distributed energy power stations and industrial parks. The profit maximization of the distributed energy station is taken as the goal in the upper layer, with decision variables including tariff time period division, tariff pricing, and the charging/discharging power of on-site energy storage equipment. The difference between electricity supply and demand is used as the state variable, and a certain range of difference is used to determine the valley and peak price periods. A tariff response coefficient is designed, which depends on the demand response effect …

Design Of User-Side Allocation Mechanism For Capacity Compensation Cost Based On Entropy Weight Method, Dong Mo, Wenbin Zheng, Mingyuan Chen, Yufu Lu, Youhui Yang, Zikang Ding

Journal of Electric Power Science and Technology

With the continuous and rapid development of new energy represented by wind power and photovoltaic power generation, conventional fossil energy units face difficulties in recovering fixed costs, and the fixed costs of conventional units need to be recovered through capacity prices. However, the current capacity price allocation process does not take load rate-related factors into account, and the allocation results cannot reasonably reflect the actual power supply costs of users with different load rates, leading to unfair allocation of capacity costs among users. To address this issue, we first outline the industry classification methods for electricity users and the commonly …

Active Power Balance Service Product System Design Based On Signal Time-Frequency Domain Analysis, Keyi Yin, Tianyao Ji, Ng Chao Zha, Peng Zou, Xiran He, Zhaoxia Jing, Xiaorui Cui, Rui Li

Journal of Electric Power Science and Technology

In the context of the energy internet, traditional active power balance regulation products fail to meet the reliability, flexibility, and low-carbon demands of new power systems. To address the problems that domestic regulation products are single in configuration and ill-equipped to handle the increasing volatility of generation, the concept of balance demand is introduced, and an active power balance service product system based on signal time-frequency domain analysis is proposed. The method uses K-shape clustering to identify typical daily balance demands, applies ensemble empirical mode decomposition (EEMD) for multi-level decomposition of regulation signals, and standardizes product design through time-frequency domain …

Iowa Waste Reduction Center Newsletter, February 2026, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Cedar Rapids Linn County SWA Wins Award
--- Energy Savings Made Simple: What is An Energy Audit?
--- New IEDA Grant Helps Rural Grocers Power Up
--- Dan Nickey Gets Thermography Certified
--- You’re Invited to UNI Day of Service
--- Minor Source Emission Inventory
--- IStorm 26
--- Industry News

Keynoter, February/March 2026, Boise State University Association Of Office Professionals

Boise State University Association of Office Professionals - Keynoter

President's Message

Get Better Soon

Professional Development Day

Recipes

Enrichment Program

COHS Lunch & Learn

PSP Certification

NAEOP

Readership

General AOP Info

Treasurer's Report

Membership

Calendar

Somatic Deficiency Of The Human E3 Ubiquitin Ligase Cbl In Leukocytes Impairs B Cell But Not T Cell Development And Function., Taja Vatovec, Anna-Lena Neehus, Katherine J L Jackson, Danielle T Avery, Ivan Bagarić, Lucia Erazo, Carlos A Arango-Franco, Masato Ogishi, Syed F Ahmed, Axel Cederholm, Amanda J Russell, Erika Della Mina, Dena Al-Rifai, Rowena Bull, Lori Buetow, Steicy Sobrino, Allison Zhang, Lara Wahlster, Marine Michelet, Nima Parvaneh, Jessica Peel, Federica Barzaghi, Davide Leardini, Quentin Philippot, Francesco Saettini, Jacques Dutrieux, Benedicte De Muylder, Francesca Vendemini, Francesco Baccelli, Albert Catala, Eleonora Gambineri, Marinella Veltroni, Vignesh Pandiarajan, Yurena Aguilar, Filomeen Haerynck, Michael Elliott, Stuart Turville, Fabienne Brillot, Taushif Khan, Filippo Consonni, Laureline Berteloot, William A Sewell, Geetha Rao, Laetitia Largeaud, Francesca Conti, Cecile Roullion, Cécile Masson, Francesco Pegoraro, Tianyi Ye, Samantha Joubran, Emily Villalpando, Boris Bessot, Yoann Seeleuthner, Tom Le Voyer, Jérémie Rosain, Hailun Li, Zarah Janda, Edoardo Muratore, Camille Soudée, Eric Delabesse, Claire Goulvestre, Mohammad Shahrooei, Anne Puel, Isabelle André, Christine Bole-Feysot, Laurent Abel, Miriam Erlacher, Vivien Béziat, Chantal Lagresle-Peyrou, Remi Cheynier, Emmanuelle Six, Nico Marr, Marlène Pasquet, Laia Alsina, Christopher C Goodnow, Nils Landegren, Alessandro Aiuti, Peng Zhang, Riccardo Masetti, Danny T Huang, Cindy S Ma, Jean-Laurent Casanova, Vijay G Sankaran, Jacinta Bustamante, Stuart G Tangye, Jonathan Bohlen

Faculty Research 2026

The E3 ubiquitin ligase Casitas B-lineage lymphoma (CBL) promotes positive selection and antigen responses in mouse T lymphocytes by ubiquitinating ZAP70. Conversely, mouse CBL and CBL-B mutually redundantly regulate SYK ubiquitination and B cell receptor signaling. Here we studied individuals with somatically homozygous CBL loss-of-function variants in leukocytes. Human CBL is largely redundant for the development and function of human T cells. Conversely, B cell development is altered at the immature stage, with a tenfold increase in transitional cells, enhanced survival of autoreactive clones and impaired tolerance manifested by autoantibody production. B cell maturation is intrinsically impaired by reduced apoptosis …

Greater Newark Stem Ecosystem - 2026 Convening - Small Group Outcomes & Action Plan, Brad Schenker

STEM for Success Showcase

In January 2026, GNSE convened ecosystem partners for a co-design session focused on identifying shared challenges, opportunities, and near-term actions to strengthen STEM education and career-connected learning. Participants engaged in small-group discussions to surface barriers, enablers, and potential areas for coordinated action.

Coe Annual Technical Review 2025, Jianshun Zhang, Bing Dong

SyracuseCoE

No abstract provided.

Mapping Of Wetland And Riparian Habitat For The National Wetland Inventory: Wetland-31 Utah 2, Emma R. Chantegros, Ryhan T. Sempler, Melissa L. Moser, Faith O. Hardin, Ella S. Hartshorn, Miles L. Fenolio, Liana N. Heberer, Sara K. Owen, Kay L. Hajek

EMMA Publications

This report details the wetland and riparian mapping methodologies implemented for the Wetland-31 Utah 2 project. The project area consists of 70 1:24,000 US Geological Survey (USGS) quads across Southeastern Utah with quads in Grand, San Juan, Emery, and Sevier counties, and Western Colorado with quads in Mesa County.

Contents, North Carolina Law Review

North Carolina Law Review

No abstract provided.

Regulating Foreign Political Advocacy, John J. Martin

North Carolina Law Review

No abstract provided.

The 107 Longest Supreme Court Cases, Benjamin H. Barton

North Carolina Law Review

No abstract provided.

Proactive Or Reactive? Defining Landlord Duties In Terry V. Public Service Company Of North Carolina, Ben Stroud

North Carolina Law Review

No abstract provided.

Juanita B. Harden

African American Funeral Programs

Born in Millen, Georgia; Educated in Jenkins County Georgia Public School System; Early Childhood Church, Fountain Spring Baptist Church, Millen Georgia; Later moved to Miami, Florida; Relocated to Savannah, Georgia; Joined

Generative Artificial Intelligence In Aircraft Design Optimization, Xiaosong Du

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Aircraft design optimization is essential for improving aircraft performance (such as reduced fuel consumption and lowered noise), which leads to more efficient, sustainable, and affordable aircraft. Conventional aircraft design adopts physics-based simulation models, but iteratively evaluating simulation models is computationally intensive, or even practically impossible. Meanwhile, artificial intelligence (AI) emerges as a revolutionary game changer in the modern engineering industry, including aircraft design optimization. Generative AI (genAI), one of the groundbreaking AI methods, has been advancing aircraft design optimization from various aspects, including intelligent parameterization, predictive modeling, training facilitation, and constraints handling. However, there is a lack of a review …

February 2026 Bulldog Alumni & Friends News, Kari Jones, Garrett King

Bulldog Alumni & Friends News

• SWOSU Sweethearts!

• SWOSU Athletic Association: February Suite Schedule

• SWOSU Near You: Tulsa

• February 19- 20 SWOSU Jazz Festival

• March 9-13 SWOSU Giving Week

• March 12 Bernhardt Reception

• March 27 SWOSU Palooza

• April 9-11 SWOSU College Rodeo

• April 17 North Family Lecture

• April 27 Everett Dobson Bulldog Golf Classic

• May 8 SWOSU Distinguished Alumni Hall of Fame Induction Ceremony & Dinner

• May 9 Spring Commencement

February 2026, Swosu Rural Health Center

RURAL ROCKS

• Current Indications for Sodium-Glucose Cotransporter 2 (SGLT2) Inhibitors
• CMS unveils LEAD, its new 10-year accountable care model
• UnitedHealthcare pauses effort to cut RPM coverage after stating the tech has 'no evidence'
• Walgreens unveils PharmStart to strengthen tech-to-pharmacist pipeline
• Rural Health Transformation Program awards announced—Here's who's getting the most in FY2026
• FDA Grants Two National Priority Vouchers
• 2026 Outlook: Hybrid care companies poised for growth driven by economic, policy tailwinds
• Brain Drain: Retail pharmacy struggles to retain pharmacists, pharmacy technicians
• The 5 biggest challenges facing retail pharmacy
• Retail pharmacy must mine the gaps
• CMS Establishes Office of Rural Health Transformation Nationwide …

Reproductive Justice, Law & Stillbirth, Kimberly Mutcherson

Vanderbilt Law Review En Banc

No abstract provided.

Duration And Properties Of The Embedded Phase Of Star Formation In 37 Nearby Galaxies From Phangs-Jwst, Lise Ramambason, Mélanie Chevance, Jaeyeon Kim, Francesco Belfiore, J. M. Diederik Kruijssen, Andrea Romanelli, Amirnezam Amiri, Médéric Boquien, Ryan Chown, Daniel A. Dale, Simthembile Dlamini, Oleg V. Egorov, Ivan Gerasimov, Simon C.O. Glover, Kathryn Grasha, Hamid Hassani, Hwihyun Kim, Kathryn Kreckel, Hannah Koziol, Adam K. Leroy, José Eduardo Méndez-Delgado, Justus Neumann, Lukas Neumann, Hsi An Pan, Debosmita Pathak, Karin Sandstrom, Sumit K. Sarbadhicary, Eva Schinnerer, Jiayi Sun, Jessica Sutter, David A. Thilker, Leonardo Ubeda

Physics and Astronomy Faculty Publications

Light reprocessed by dust grains emitting in the infrared enables the study of the physics at play in dusty embedded regions, where ultraviolet and optical wavelengths are attenuated. Infrared telescopes such as JWST have made it possible to study the earliest feedback phases, when stars are shielded by cocoons of gas and dust. Comprehending this phase is crucial for unravelling the effects of feedback from young stars that leads to their emergence and the dispersal of their host molecular clouds. Here we show that the transition from the embedded to the exposed phase of star formation is short (< 4 Myr) and sometimes almost absent (< 1 Myr) across a sample of 37 nearby star-forming galaxies covering a wide range of morphologies, from massive barred spirals to irregular dwarfs. The short duration of the dust-clearing timescales suggests a predominant role of pre-supernova feedback mechanisms in revealing newborn stars, confirming previous results on smaller samples and allowing, for the first time, a statistical analysis of their dependencies. We find that the timescales associated with mid-infrared emission at 21 μm, tracing a dust-embedded feedback phase, are controlled by a complex interplay between giant molecular cloud properties (masses and velocity dispersions) and galaxy morphology. We report relatively longer durations of the embedded phase of star formation in barred spiral galaxies, while this phase is significantly reduced in low-mass irregular dwarf galaxies. We discuss tentative trends with gas-phase metallicity, which may favor faster cloud dispersal at low metallicities.

Holographic Duality From Howe Duality, Anatoly Dymarsky, Johan Henriksson, Brian Mcpeak

Physics and Astronomy Faculty Publications

We discuss the holographic correspondence between 3d “Chern-Simons gravity” and an ensemble of 2d Narain code CFTs. Starting from 3d abelian Chern-Simons theory, we construct an ensemble of boundary CFTs defined by gauging all possible maximal subgroups of the bulk one-form symmetry. Each maximal non-anomalous subgroup is isomorphic to a classical even self-dual error-correcting code over ℤ_p × ℤ_p, providing a way to define a boundary “code CFT.” The average over the ensemble of such theories is holographically dual to Chern-Simons gravity, a bulk theory summed over 3d topologies sharing the same boundary. In the case of …