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Steve W. Ross, Phd, Nancy J. Brown-Peterson

Miscellaneous Documents

No abstract provided.

Localization Of Leakage Caused By Low‑Voltage Wiring Errors On User Side Based On Correlation Analysis And Gradient Boosting Decision Trees, Junfeng Zheng, Chaoqiang Chen, Feng Chen, Yaxuan Chen

Journal of Electric Power Science and Technology

Neutral and ground wiring errors on the user side are common in low-voltage transformer districts, which can cause user load currents to be converted into residual currents, resulting in frequent tripping of residual current circuit protection devices in the transformer district and their forced deactivation, thereby posing a threat to electrical safety. Since such wiring errors are present on the user side and are difficult to locate and troubleshoot, they have become a major obstacle to the deployment of residual current protection in transformer districts. This paper proposes a method for locating the user-side leakage due to wiring errors based …

Optimization Method For Operational Costs Of New Energy Alliances Considering Load Energy Block Trading Mode, Yong Cui, Yu Chen, Jian Zheng, Li Zhu, Hao Pang

Journal of Electric Power Science and Technology

To achieve system load peak shaving and valley filling, as well as real-time balancing of power differences between load peaks and valleys, a multi-energy collaborative optimization method for energy supply is proposed, integrating new and conventional energy sources. Based on the different generation characteristics of wind power, photovoltaic power, hydropower, and thermal power, an optimization model is constructed for a new energy alliance. The energy block method for peak and valley loads is first applied to determine the electricity demand to be undertaken by the alliance. Through internal resource optimization allocation and multi-agent generation combination-based multi-scale cost balancing optimization, an …

Research On Key Technologies For Ar Feature Extraction In Relay Protection Operation Sites, Yongzhi Zhang, Yongting Zhang

Journal of Electric Power Science and Technology

The relay protection operation requires strict technical operation and high accuracy. In response to the current challenges of high complexity and poor universality in modeling with augmented reality (AR) applications, a feature extraction edge computing framework is proposed. Firstly, the Canny algorithm is applied to perform edge analysis on the meter, pressure plate, and terminal block of the protection cabinet. To address salt-and-pepper noise in the images, a fixed-window median filtering method is employed for prepossessing. The improved Sobel operator optimizes gradients in the horizontal and vertical directions, and a set of contour boundary lines is constructed using the least …

Multi‑Stage Robust Planning Of Energy Supply Structure Of Distribution Network Considering Carbon Neutrality Effect, Xubin Xing, Xiong Peng, Xiaoyan Zhao, Chong Gao, Wei Lan, Jiayan Liu, Yong Li

Journal of Electric Power Science and Technology

Building a new power system dominated by new energy is the fulcrum of a new round of energy transition and revolution and an important pathway to achieving carbon peaking and carbon neutrality goals. By considering the uncertainty of wind and solar output and load fluctuations, a multi-stage robust planning method for the energy supply structure of distribution networks is proposed, incorporating the effect of carbon neutrality. First, the optimal investment capacity plan for equipment is formulated. Next, the operation plan of the distribution network is optimized under the consideration of uncertain factors, so as to minimize the daily operating cost …

Fire Risk Prediction Of Distribution Lines Based On Rf‑Adaboost Algorithm, Tian Tian, Jun Wang, Xin Ning, Zhang Sun, Xin Wang

Journal of Electric Power Science and Technology

In response to wildfires that threaten the stable operation of distribution lines, it is important to establish a fire risk prediction model for distribution lines. However, the scarcity of data on wildfires causes sample imbalance, affecting the accuracy of the model. To this end, based on the influencing factors such as meteorological, geographic, combustible, and social factors, support vector machines and the idea of cost sensitivity are used to assign more weight to minority samples. Recursive feature elimination is used to select features that favor minority class classification. On this basis, a fire risk prediction model for distribution lines based …

Phased Voltage Control Strategy For Dg In Low‑Voltage Distribution Station Areas Based On Cloud‑Edge Collaboration, Shuaihu Li, Tan Zou, Handian Li, Zhidan Zhang, Yijia Cao

Journal of Electric Power Science and Technology

In view of the voltage overrun problem triggered by the unsynchronized peak output period of distributed generation (DG) and heavy load period in low-voltage distribution station areas, a phased voltage control strategy for DG in station areas based on cloud-edge collaboration is proposed. First, the historical operation data of the station area collected by the intelligent fusion terminal is received through the cloud master station, and a short-term prediction model of voltage based on spectral graph theory and graph convolution network is constructed at the cloud layer; then, the intelligent fusion terminal at the edge layer makes short-term prediction of …

Characteristics Of Single‑Phase Fire‑Contact And Tree‑Contact Faults In Medium‑Voltage Overhead Lines, Meng Wang, Yi Zeng, Longshan Yang, Tianxiang Chen, Songhai Fan, Chi Wu

Journal of Electric Power Science and Technology

In recent years, there have been numerous wildfires caused by various factors, seriously affecting the safe operation of overhead distribution lines. In addition to the contact between overhead lines and trees, human use of fire and lightning are also among the causes of wildfire accidents. The 10 kV overhead line is taken as the research object, and an experimental research platform for single-phase fire-contact and tree-contact faults is built. By means of a high-resistance ground fault model and a comparison in the time and frequency domains, the characteristics of the two faults are analyzed, and the change rules of leakage …

Power Supply Restoration Strategy Considering Regulation Capability Of Flexible Resources, Dejin Feng, Yi Zhao, Xiaoyi Qian, Wenyao Sun

Journal of Electric Power Science and Technology

The rapid development of new energy technologies will make them the main source of power generation in the future. However, the intermittent and fluctuating characteristics of new energy power generation make it highly susceptible to environmental influences. In view of insufficient power supply in urban distribution networks under extreme weather conditions, a power supply restoration strategy considering the regulation capability of flexible resources is proposed. Firstly, air conditioners and electric vehicles, which are typical adjustable flexible resources in urban distribution networks, are modeled, and their regulation capabilities are evaluated. Next, based on the evaluation results, the optimal power supply restoration …

Online Modeling Method Of Comprehensive Load Model For New Power System Based On Measurement Information, Guihua Qiu, Zijia Kuang, Shuhong Wu

Journal of Electric Power Science and Technology

The load model has an important influence on the simulation analysis results of the power system, but the current load modeling methods are difficult to adapt to the diversity and time-varying characteristics of the new power system load in terms of model accuracy and computational efficiency. To address this issue, an online modeling method of the comprehensive load model for the new power system based on measurement information is proposed. Firstly, the dominant factors affecting the comprehensive load model are analyzed based on the activation subspace of parameter space. Then, according to the characteristics of the daily output curve of …

Strategy For Improving Wind‑Solar Consumption Rate In Mountainous Cities Based On Vmd‑Bi‑Lstm And V2g, Li Cai, Bingjie Shang, Qingshan Xu, Juan Yan, Haihong Bian, Yi Zhang, Xiaojiang Zou

Journal of Electric Power Science and Technology

To address the current energy abandonment phenomenon of new energy sources such as wind power and photovoltaic power, an orderly charging and discharging strategy for electric vehicles (EVs) is proposed to promote wind-solar consumption. This strategy uses the vehicle-to-grid (V2G) interaction technology and aims to maximize the regional wind-solar consumption rate, minimize power load fluctuation, and maximize the power company’s electricity sales benefit in the context of mountainous cities by establishing a multi-objective charging model. The output of wind power and photovoltaic power is predicted using variational mode decomposition combined with a bidirectional long short-term memory (Bi-LSTM) network. Based on …

Research On Real‑Time Power Scheduling Optimization Considering Renewable Energy Characteristics, Guoming Luo, Xiaoyun Huang, Xinming Fan

Journal of Electric Power Science and Technology

In power systems with large amounts of renewable energy and high variability, conventional scheduling methods cannot adequately accommodate the effects of the above variability. A scheduling optimization method is proposed to evaluate the optimal unit participation factor by considering the variability of solar, wind, and load demand. Both sequential and dynamic models are used, and variability and uncertainty costs are considered in the optimization process. Since the participation factor fitting function is optimized only once at the beginning of the scheduling interval, the dimensions of the proposed scheduling optimization model are the same as those of the conventional method. The …

Ies‑Plan Platform‑Based Planning And Design Solution For Integrated Energy Systems, Mingyang Gao, Suyang Zhou, Wei Gu, Qingquan Chen, Yue Qiu, Aobo Guan

Journal of Electric Power Science and Technology

Establishing an integrated energy system (IES) is an effective means to promote the efficient utilization of energy resources. Reasonable planning and design software for IESs can provide tailored design solutions according to engineering needs. However, the lack of multi-scenario-compatible planning software remains a bottleneck for the widespread industrial application of IESs. To address this issue, a comprehensive and highly reliable IES plan (IES-PLAN) design platform has been developed to scientifically guide users in designing reliable, low-carbon, and efficient IESs. The platform offers a graphical interaction interface, allowing users to flexibly set planning scenarios and goals based on their needs. To …

Research On Coordinated Control Strategy Employing D‑Statcom Based On Voltage Transient Rate Of Change, Wenglong Li, Xiu Yang, Xiaoli Zhao, Danzhen Gu, Xuejun Xiong, Yajun Zhang, Yuyao Feng

Journal of Electric Power Science and Technology

To solve serious problems such as equipment shutdown caused by voltage dips due to short-circuit faults in distribution networks, a coordinated control strategy employing a distribution network static synchronous compensator (D-STATCOM) based on the voltage transient rate of change is proposed. Firstly, the control of voltage by the traditional control strategy is improved. An undervoltage module is activated when a short-circuit fault occurs in the distribution network, increasing the reactive power output of D-STATCOM to suppress the voltage dip during the fault. At the end of the fault, an overvoltage module is activated to decrease the reactive power output of …

Lindenwood Digest, July 23, 2025, Lindenwood University

Lindenwood Digest

The Lindenwood Digest has been a digital employee newsletter since 2009.

July 23, 2025 Blazer Weekly, University Of Alabama At Birmingham

Blazer Weekly (student newsletter)

No abstract provided.

Fsec Meeting Minutes July 23, 2025, University Of Rhode Island Faculty Senate

Faculty Senate Executive Committee Minutes

No abstract provided.

Temporal And Generational Changes In Depression Among Young American Adults, Ashley W. Kranjac, Dinko Kranjac, Valentine Chung

Sociology Faculty Articles and Research

The prevalence of depression among young American adults has risen significantly over the past two decades, but the mechanisms that underlie the population-level changes in depressive symptoms severity remain unclear. We used data from the 2005–2023 National Health and Nutrition Examination Survey (NHANES) and hierarchical age–period–cohort (HAPC) analysis to examine developmental (i.e., age), life stage (i.e., period), and generational (i.e., cohort) distribution of depressive symptoms among American adults aged 20–30 years old over an 18-year period. Our model results indicate that the probability of either mild, moderate, or severe depression increased among young adult females and males between 2005 and …

Michael Aquino V. Michael Breede

2025 Decisions

USDC for the District of New Jersey

Usa V. Antuane Gregory

2025 Decisions

USDC for the District of New Jersey

The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

New York City Housing Authority, Red Hook West Houses V. Mercado

All Decisions

The court granted a tenant's motion to vacate a final judgment and dismiss the non-payment petition without prejudice. The landlord, a housing authority, failed to use the mandatory Notice of Petition form prescribed by court rules, which resulted in a defective notice. The court found this was not a minor error but caused prejudice to the pro se tenant, as it omitted crucial information about available legal and financial resources. As a result, the final judgment and warrant of eviction were vacated, and the case was dismissed.

The Influence Of Underwriter Reputation And Firm Age On Ipo Pricing Decision: A Study On Companies Conducting Ipos On The Indonesia Stock Exchange In 2021–2024, Daniel Nathan, Prima Yusi Sari

Journal of Accounting Auditing and Business

This study aims to analyze the effect of underwriter’s reputation and firm age on IPO pricing decision among companies that went public on the Indonesia Stock Exchange (IDX) during the period 2021 to 2024. A quantitative approach was employed using multiple linear regression to examine the relationships between variables. The study’s sample consists of 229 companies that conducted IPOs within the specified period. The independent variables include underwriter’s reputation, categorized based on transaction volume rankings, and firm age, calculated as the difference between the year of establishment and the IPO year. The dependent variable is IPO pricing decision, represented by …

Changing Aspen Stand Structure Following Large Carnivore Restoration In Yellowstone, Luke E. Painter, Robert L. Beschta, William J. Ripple

Aspen Bibliography

Restoration of large carnivores in northern Yellowstone National Park in the late 20th century resulted in a sustained reduction of Rocky Mountain elk (Cervus canadensis) and their herbivory, facilitating new growth of quaking aspen (Populus tremuloides) saplings. In 2020–21, we examined 87 randomly selected, previously sampled aspen stands across northern Yellowstone, combining random plots with stand-wide observations. Forty-three percent of stands contained a new cohort of small trees (5–10 cm dbh), the first documented recruitment of overstory aspen trees in northern Yellowstone since the 1940s. Both aspen saplings ( ≥2 m tall) and small trees were …

Investigating The Impact Of Agent Openness On Planning In Multi-Agent Systems, Bala Subramanyam Duggirala

School of Computing: Dissertations, Theses, and Student Research

Multi-agent systems (MAS) possess significant potential for modeling real-world scenarios requiring coordinated actions (like wildfire fighting or ridesharing) among autonomous entities or agents (e.g., wildfire fighting agents) in complex, dynamic environments. Effective decision-theoretic planning (where each agent must carefully consider both the immediate and the future situations or states, and coordinate with the other agents (neighbors) to evaluate what needs to be done at present) within MAS, especially multiagent planning, where the planning agent directly models its neighbors in order to estimate their optimal actions, is critical, yet challenged by factors like partial observability, openness, and diverse agent types with …

Longitudinal Associations Between Waking Movement Behaviors And Health-Related Quality Of Life In Older Adults: A Compositional Data Analysis Approach, Jaclyn P. Maher, Alexander Jochim, Yeongjun Seo, Brynn L. Hudgins, Iman F. Khan, Peyton A. Greco, Emily M. Postlehwait, Om L. Patel, Krista S. Leonard, Chih-Hsiang Yang, Denver M. Y. Brown

Faculty Publications

Objectives

Movement behaviors, such as sedentary behavior (SB), light intensity physical activity (LPA), and moderate to vigorous intensity physical activity (MVPA) are mutually exclusive, in that time spent in one behavior inevitably displaces time spent in another. Yet, few studies have simultaneously considered these health behaviors and their association with health-related quality of life (HRQoL), an important indicator of health and well-being in aging populations. This study aimed to explore the role of waking movement behaviors (i.e., SB, LPA, MVPA) in prospectively predicting HRQoL in older adults. The study further aimed to cross-validate associations between movement behaviors and HRQoL using …

An Ai-Driven Framework For Real-Time Fake News Detection: Developing A Machine Learning-Based Filter For News Platforms In The United States, Umma Twaha, Yeasin Arfin

Engineering and Technology

The proliferation of fake news across digital platforms poses a significant threat to democratic processes, public health, and social cohesion in the United States. Manual fact-checking and traditional moderation approaches are increasingly inadequate due to the scale, speed, and sophistication of misinformation campaigns. This presents an AI-driven framework for real-time fake news detection, designed to serve as an intelligent filter for news platforms operating within the US media ecosystem. Leveraging natural language processing (NLP) techniques and machine learning algorithms—including supervised classifiers and deep learning models such as BERT and LSTM—the framework identifies deceptive content with high precision and low latency. …

Physical Activity Mediates Age Differences In Cognition Among Tsimane Forager-Horticulturalists, Phoebe E. Imms, Nikhil N. Chaudhari, Daniel Cummings, Daniel Eid Rodriguez, Giuseppe Barisano, Paul L. Hooper, M. Katherine Sayre, Edmond Seabright, Randall C. Thompson, M. Linda Sutherland, James D. Sutherland, Benjamin C. Trumble, Michael Gurven, Jonathan Stieglitz, Caleb E. Finch, Hillard S. Kaplan, Wendy J. Mack, Margaret Gatz, Andrei Irimia

ESI Publications

Background: The Tsimane and Moseten of the Bolivian Amazon are highly physically active and exhibit low rates of cognitive impairment and brain atrophy.

Methods: We use structural equation modelling to examine how their physical activity levels mediate the relationship between (1) age and cognition, and (2) age and cognition via brain volume (BV).

Results: Tsimane males (n = 305, mean ± SD age = 59.94 ± 9.68) and Tsimane females (n = 265, mean ± SD age = 59.28 ± 9.79) exhibit significantly higher levels of physical activity than Moseten males (n = 106, mean ± SD …

Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari

Montclair State University Scholarship & Creative Works

Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing interconnectivity and reliance on digital components expose these vehicles to significant cybersecurity risks. To address these challenges, Zero Trust Architecture (ZTA) has emerged as a promising security framework. Operating on the principle of ‘never trust, always verify,’ ZTA offers a comprehensive approach to ensuring continuous trust verification in HEV systems. Despite its potential, the application of ZTA within cyber-physical vehicular systems remains underexplored, and its practical benefits and limitations are not yet fully understood by the engineering …

Utilizing The Combinatory Power Of Chemotherapeutic Compounds In Triple Negative Breast Cancer Cells, Matthew I. Hyder

Biology Summer Fellows

Breast cancer is the leading cause of cancer-related deaths among women worldwide and the second most common cause of cancer deaths in women in the United States. Genetic variants that increase the risk of breast cancer include mutations in the breast cancer susceptibility genes 1 and 2 (BRCA1 and BRCA2). Apoptosis, or programmed cell death, is a natural process that helps the body remove aged cells. However, in cancer, deregulated apoptotic signaling—especially the activation of anti-apoptotic mechanisms—enables cancer cells to evade this process, leading to uncontrolled proliferation, tumor survival, therapeutic resistance, and cancer recurrence. Most anti-cancer drugs function as chemotherapeutic …