Digital Commons Network^™

Demand Response Capability Evaluation Of Central Air Conditioning Based On Random Forest, Tingzhe Pan, Jinhua He, Zijie Meng, Xin Jin, Wei Zhou, Wangzhang Cao, Chao Li

Journal of Electric Power Science and Technology

Central air conditioning in commercial buildings is a high-quality controllable resource，and the rational utilization of its regulation capacity is of significance to the supply-demand balance of power systems.In particular，during summer peak electricity consumption periods，effective regulation of massive central air conditioning loads can greatly relieve the pressure of source-load balance in power grids.To this end，a demand response capability evaluation of central air conditioning based on random forest （RF） is proposed.Assuming that the participation of central air conditioning in demand response is limited to controlling the on/off status of the central refrigeration system，then the demand response capability can be characterized by the …

Review Of Lunar Surface Energy System Technologies, Ming Zhang, Li Lu, Yaodong Liu, Hong Du, Chengxiong Tang, Hua Geng, Qiaoling Tong, Wei Lu

Journal of Electric Power Science and Technology

According to China ’s lunar exploration plan，China aims to achieve a manned lunar landing before 2030 and establish the basic model of a lunar research station before 2035.As essential infrastructure for the construction and operation of the lunar research station，the energy system is fundamental to ensuring its long-term，stable operation.This study surveys domestic and international lunar surface energy systems and analyzes the energy system requirements of China ’s lunar research station.Based on this analysis，the application scenarios and development requirements for power generation，energy storage，power management，and power transmission and distribution technologies are discussed in detail.Various types of energy systems are proposed and compared.On …

Short-Term Bus Load Forecasting Considering Interval Forecasting Information And Temporal Convolutional Network, Xinming Liu, Haichen Li, Jianguang Ji, Shuo Sun, Junxin Bian

Journal of Electric Power Science and Technology

The bus load forecasting in substations is essential for the stable operation of power systems.With the large-scale integration of renewable energy generation into the grid，low-voltage bus loads become increasingly volatile，and their uncertainty can hardly be quantified by point forecasting alone.Interval forecasting can enhance decision-making in power dispatching.For this reason，the study proposes a hybrid short-term bus load forecasting method that integrates point and interval forecasting.Specifically，complementary ensemble empirical mode decomposition with adaptive noise （CEEMDAN ） is applied for primary decomposition of the original bus load.The features of the highly volatile high-frequency components from primary decomposition are extracted through secondary decomposition of the …

Lightweight Method For Remaining Useful Life Prediction Of Instrument Transformers Based On Quantization-Aware Training, Wei Zhang, Jiaona Mao, Zhuolin Bao, Zhuo Long, Xiaofei Zhang

Journal of Electric Power Science and Technology

Instrument transformers are key measurement devices in power systems，and their performance directly affects the safe and stable operation of power grids.As deep learning is widely applied to device state prediction，the high computational costs and storage requirements brought by expanding model scales severely restrict their deployment on edge devices.To this end，an adaptive quantization-aware training （QAT ） method，named minimizing quantization error-aware training （MinQuant ），is proposed.Firstly，an adaptive quantizer that automatically adjusts quantization parameters according to data distribution characteristics is designed.Secondly，a quantization error minimization algorithm is proposed to explicitly optimize quantization error during training and achieve collaborative optimization of model performance and quantization precision.Finally，the …

Data-Driven Distributionally Robust Scheduling Method For Park-Level Integrated Energy System Considering Electric Vehicle Integration, Chuangxin Guo, Kun Chen, Yumian Lin, Houbo Xiong, Lei Yan, Liwei Du

Journal of Electric Power Science and Technology

Fluctuations in renewable energy output and the growing and stochastic electric vehicle （EV） charging demand introduce source- and load-side uncertainties that significantly affect the scheduling plan of the park-level integrated energy system （PIES ）.To improve the economy and robustness of PIES operation，this paper proposes a data-driven distributionally robust scheduling method for PIES considering EV integration.First，given that the uncertainty associated with EV integration is difficult to characterize accurately，five features of EV charging behavior are selected.A Gaussian mixture model is used to characterize the multimodal behavior of EV charging，and an uncertainty set is constructed by combining Neyman sampling with comprehensive norm constraints.Second，a …

Hybrid Hmm-Mgan Approach For Long -Term Renewable Energy Output Scenario Generation, Fang Liu, Yang Liu, Ruichen Hao, Xiang Wang, Yuyan Song, Yunche Su, Haibo Li

Journal of Electric Power Science and Technology

To address the limitations of existing numeric al models for long-term renewable energy scenario generation，such as oversimplified structures，poor output quality，a predominant focus on seasonal trends，and insufficient modeling of output details，this paper proposes a long-term renewable power scenario generation method based on a dual-layer weighted ensemble strategy.The proposed approach integrates multiple power reconstruction models to achieve high-fidelity reconstruction of historical renewable energy output.On this basis，a hidden Markov model （HMM ） is employed on a monthly basis to construct daily-scale state transition sequences of renewable energy output，while a modified generative adversarial network （MGAN ） is used to generate monthly renewable energy output …

Accurate Calculation Method For Transient Overvoltage In Multi-Infeed Renewable Power Systems Under Asymmetric Faults, Lu Zhang, Jie Rui Huang, Bo Tang, Chenxi Yang

Journal of Electric Power Science and Technology

During fault recovery，transient overvoltages （TOVs ） have become an increasingly prominent issue in power systems with high penetration of renewable energy sources.However，related research，primarily focusing on three-phase short-circuit faults，rarely addresses asymmetric fault scenarios.This study approaches the issue by analyzing the transient characteristics of renewable energy units under asymmetric faults.Then，it presents an equivalent model incorporating negative-sequence control and compares the severity of TOVs caused by three-phase symmetric and asymmetric short-circuits in a single-unit system.Furthermore，to address the difficulty in characterizing the coupling between generation units and between the units and negative-sequence control in multi-infeed systems，the study proposes an iterative TOV calculation method based …

Transient Rotor Angle Stability Impact Assessment Method Based On Dominant Mode Identification For High-Penetration Renewable Energy Power Systems, Jinlong Zhang, Mengjie Yu, Yanhong Bao, Yuxiang Zhao, Jiaqi Song, Yingping Shi, Zeheng Sun

Journal of Electric Power Science and Technology

This paper addresses the new challenges in the quantitative assessment of transient rotor angle stability in high-penetration renewable energy power systems，proposing a method for evaluating the impact degree based on dominant mode identification.First，the limitations of traditional “impact degree ” assessment methods based on a single-instant kinetic energy approximation are discussed in terms of their ability to address system diversification，low inertia，and differences in the dynamic mechanisms of the two stages.It is also demonstrated that accurate generator grouping is an important prerequisite for effective assessment.On this basis，a transient energy function reflecting the relative motion between generator groups is constructed，and a theoretical connection …

Identification Of Electric Bicycle Charging Load Based On Label-Guided Attention Mechanism, Xianyi Cui, Weijie Zeng, Mouhai Liu, Liman Shen, Yeqin Ma, Yuge Zhang, Yunpeng Gao

Journal of Electric Power Science and Technology

The growing popularity of electric bicycles is accompanied by the risk of charging-related fires，calling for prompt effective monitoring.Non-intrusive load monitoring （NILM ） provides a key technical approach for this purpose.A deep learning identification algorithm based on label-guided attention is proposed for non-intrusive identification of electric bicycle charging loads.Specifically，a feature sample library is constructed by collecting high-frequency power data from electric bicycles and various household appliances.Then，deep features are extracted using a one-dimensional convolutional neural network （1DCNN ），and feature representation is enhanced by combining feature and position attention mechanisms.Furthermore，sequential dependencies are captured using a bidirectional recurrent neural network （BRNN ） to achieve …

Multimodal Feature Fusion Method For Identifying Excitation Inrush Current In Distribution Transformer, Fan Yan, Luxin Zhan, Chun Chen, Yi An, Yijia Cao

Journal of Electric Power Science and Technology

With the widespread integration of high-penetration distributed generation （DG） and power electronic devices，the harmonic components of fault currents have become increasingly prominent，preventing traditional relay protection methods from effectively distinguishing between excitation inrush currents and fault currents.Moreover，existing time-frequency analysis methods rely on manually selected evaluation metrics，which often lead to misjudgments.To address these issues，this paper proposes a deep learning-based identification method that fuses image- and statistical-domain features，in which the neural network adaptively learns features for identification.Specifically，the Gramian angular field （GAF ） method is employed to transform time-series data into images，from which image features are extracted using ResNet 18.Then，statistical-domain features of the fault …

Coordinated Suppression Method For Power System Inter -Area Oscillations Based On Supplementary Damping Control Of Dfigs, Jun Xiao, You Situ, Anping Huang, Runfeng Hu

Journal of Electric Power Science and Technology

Doubly fed induction generator （DFIG ）-based wind turbines have been proven to be effective devices for damping inter-area low-frequency oscillations due to their flexible power regulation capability.However，due to the difficulty of accurately modeling power systems，the complexity and variability of operating conditions，the existence of substantial uncertainties and disturbances，and the coupling of multiple oscillatory modes，it is difficult for traditional model-based supplementary damping control methods with fixed parameters for DFIGs to achieve good damping performance.Therefore，this paper proposes a data-driven coordinated supplementary damping control method for DFIGs.First，partial-form dynamic linearization is used to establish a decoupled multi-input multi-output data-driven model that characterizes the dynamic behavior …

Sf6 Gas Leakage Detection Method For Gis Equipment Based On Improved Yolo 11 Model, Cheng Zeng, Shaosheng Fan, Jiashun Xie, Kaiyu Guo

Journal of Electric Power Science and Technology

An SF6 gas leakage detection method for GIS equipment based on an improved YOLO 11 model is proposed to address the problem of internal SF6 gas leakage in outdoor substation gas insulated switchgear （GIS） equipment caused by environmental factors and equipment aging.The Real-ESRGAN super-resolution generative adversarial network is adopted for denoising and enhancement，and then the YOLO 11 model is improved to solve the problems of missed detection of small gas plumes，false detection due to cloud interference，and inability to perform multi-task detection in the original YOLO 11 model.The improved model increases the number of detection heads to four and incorporates a …

Distribution Network Energy Storage Siting Planning Based On Predictive Load Generation Using Prophet And Gan, Jiayu Xu, Xiaodong Chen, Yafeng Wang, Zhaoyan Liu, Yiyu Gong, Fanglan Liu, Jiaoxin Jia

Journal of Electric Power Science and Technology

An energy storage siting and sizing planning method based on load trend extraction and forecasting is proposed to address the challenges of photovoltaic （PV） curtailment and bidirectional power flow overloads posed by distribution networks with high PV penetration.Firstly，the Prophet algorithm is adopted to decompose the net load of each node into trends and seasonal components，and the residual load is obtained.Secondly，a generative adversarial network （GAN ） is employed to model the relatively random residual component and generate load forecast data for the following year.The generated residual data are then combined with the trend and seasonal components to obtain a new annual …

Optimal Regional Allocation Of Mobile Energy Storage In Urban Distribution Networks Considering Distribution-Transportation Coupling, Zifa Liu, Chang Wang, Mengni Ye

Journal of Electric Power Science and Technology

Given the increasing demand for flexible resources in distribution networks，investigating the trade-off between the economic efficiency of resource allocation during the pre-planning phase and the enhancement of resilience in the fault recovery stage is essential for avoiding asset underutilization and excessive investment.To address this issue，the paper proposes a regional allocation method for mobile energy storage systems （MESSs ） that considers power-transportation coupling.First，a coupled distribution-transportation model is constructed based on the interactions among vehicles，charging stations，and the distribution network to characterize traffic flow dynamics.Next，a comprehensive indicator integrating electrical modularity and geographic accessibility is developed and an improved genetic algorithm is employed to …

Relocation And Charging/Discharging Power Optimization Of Modular Energy Storage For Voltage Limit Violation Mitigation In Rural Photovoltaic Distribution Station Areas, Haifeng Yu, Yifei Wang, Yu Li, Hanhang Yin, Siyuan Peng, Puling Huang, Zheng Peng

Journal of Electric Power Science and Technology

To address the seasonal overvoltage and undervoltage issues in China ’s rural photovoltaic （PV） distribution station areas，this study proposes a relocation and charging/discharging power optimization method for modular energy storage adapted to the mitigation of voltage limit violations in the rural PV distribution station areas.Voltage limit violations are mitigated by relocating modular energy storage units to PV distribution station areas and regulating the active charging/discharging power of the energy storage units and the reactive power of the inverters.Specifically，the source-load characteristics of China's rural PV distribution station areas are analyzed.The feeder voltage equation is applied to reveal that the voltage limit …

Inversion Model For Point Of Maximum Vibration In Oil-Immersed Transformer Based On Multiphysics Load-Transfer Characteristics, Xingxing Hao, Haiying Li, Jiancheng Song

Journal of Electric Power Science and Technology

Accurately obtaining data at the point of maximum vibration in a transformer core is one of the challenges in power equipment health management.To address this problem，a new method based on multiphysics modeling and inversion techniques was proposed for detecting the point of maximum vibration acceleration in a transformer.First，a multiphysics load-transfer coupling model incorporating electromagnetic，structural，and fluid fields was used to analyze the vibration mechanism under an alternating and nonuniformly distributed magnetic field.The point of maximum i nternal vibration was then determined through harmonic response analysis.Second，considering data correlations，vibration measurement points on the outer wall of the oil tank that were strongly correlated …

Robust Bidding Strategy Analysis For Charging Stations Considering Response Uncertainty, Xiaofeng Jiang, Bo Zhou, Chun Tang, Yunyang Xu, Wei Wei, Xinwei Sun, Jianwei Yang

Journal of Electric Power Science and Technology

The large-scale integration and interaction of electric vehicles with the power grid have become an inevitable trend.As key entities in the interaction between electric vehicles and the power grid，charging stations can aggregate the charging and discharging resources of electric vehicles to participate in electricity market bidding，thus balancing their own interests and the operational needs of the power grid.Based on this，a model capable of predicting the day-ahead responsive capacity was first proposed by considering the active charging response of electric vehicles.Second，a robust optimization bidding model was established for charging stations participating in the day-ahead electricity market，considering the effects of uncertainties in …

Mechanism-Guided Temporal Representation And Risk-Aware Identification Method For High-Impedance Ground Faults In Distribution Networks Under Multiple Types Of Confusing Disturbances, Huaizhou Liu, Junqin Liu, Feng Deng

Journal of Electric Power Science and Technology

To address the difficulty of representing the weak features of high-impedance ground faults （HIFs ） under multiple types of confusing transient disturbances，as well as the insufficient consideration of missed-detection risk，a mechanism-guided identification method based on multi-scale residual attention temporal representation and a risk-aware light gradient boosting machine （LightGBM ） is proposed.First，using the original zero-sequence current as input，a multi-scale residual attention temporal convolutional network is constructed based on the HIF waveform mechanisms of random arcing，local spikes，half-cycle asymmetry，and nonstationary fluctuations to adaptively extract deep discriminative features at different time scales.Second，the deep temporal features are input into LightGBM，and protection-oriented class risk weights are …

Mengadili Kepentingan Umum: Korporatisme Pengadilan Dalam Proyek Strategis Nasional (Psn), Agung Wardana, I Kadek Sudiarsana, Yogi Paramitha Dewi

The Indonesian Journal of Socio-Legal Studies

The implementation of National Strategic Projects (NSP) often leads to conflict. Projects that are claimed to be developments in the public interest are challenged by affected communities and civil society organisations in various ways, including through litigation. However, in the legal studies literature, studies on NSP issues tend to be analysed through a normative analysis focusing on development for the public interest. The article examines court decisions concerning NSP to understand how courts provide their deliberations of the cases, a perspective that enriches knowledge about NSP. This article shows how the corporatist relationship between the executive power and the judiciary, …

Status Quo Bias Dalam Reformasi Hukum Acara Pidana Di Indonesia: Kegagalan Penguatan Pengawasan Pengadilan (Judicial Scrutiny) Yang Lebih Optimal, Choky Risda Ramadhan, Abni Nur Aini, Dheliana Khairunisa

The Indonesian Journal of Socio-Legal Studies

Pretrial proceedings (Praperadilan), as a form of judicial scrutiny, function as a control mechanism over the actions of law enforcement officials to prevent abuses of power. This mechanism was introduced in the 1981 Criminal Procedure Code (Kitab Undang-Undang Hukum Acara Pidana, KUHAP) and re-regulated in the 2025 KUHAP. However, numerous studies and focus group discussion with legal scholars and law enforcement officers have documented structural weaknesses in Praperadilan, prompting calls to reform judicial scrutiny in order to more effectively limit law enforcement authority and protect the human rights of individuals involved in criminal proceedings. During the Reform era (2004–2025), proposals …

20260901: Alumni Association, 1932-2024, Alumni Association

Guides to University Archives

These items include materials from the Alumni Association at Marshall University from 1932-2024. Items were received in 2026 and include notable materials from or about the Alumni Office and other campus events including Herald-Advertiser issues of early campus, the Sesquicentennial Souvenir Section from the Herald-Dispatch, issues of The Parthenon, Marshall Magazine, the Marshall High School Yearbook from the 1960s "The Brigadier", a songbook from Sigma Alpha Epsilon, and other materials from Sigma Alpha Epsilon from the 1960s and 1980s. This is not an exhaustive list. Please download the finding aid for a full list of contents.

Analyst Visibility And Earnings Forecast Quality, Qiang Cheng, Tian Deng, Sterling Huang, An-Ping Lin

Research Collection School Of Accountancy

This study examines how a reduction in analysts’ visibility, resulting from brokerages’ switch to anonymous forecasts on Eikon, affects earnings forecast quality. Using a difference-in-differences design, we find that treatment analysts respond by issuing more accurate forecasts in the post-anonymization period. Treatment analysts who improve forecast quality the most can sustain visibility, as reflected in their coverage by the financial media, enhance their likelihood of being voted as star analysts, and induce greater client trading. These results are consistent with analysts’ incentives to offset the reduced visibility so as to advance their careers and increase trading commissions for their brokerages. …

Restoring Linguistic Grounding In Vla Models Via Train-Free Attention Recalibration, Ninghao Zhang, Bin Zhu, Shijie Zhou, Jingjing Chen

Research Collection School Of Computing and Information Systems

Vision-Language-Action (VLA) models enable robots to perform manipulation tasks directly from natural language instructions and are increasingly viewed as a foundation for generalist robotic policies. However, their reliability under Out-Of-Distribution (OOD) instructions remains underexplored. In this paper, we reveal a critical failure mode in which VLA policies continue executing visually plausible actions even when the language instruction contradicts the scene. We refer to this phenomenon as linguistic blindness, where VLA policies prioritize visual priors over instruction semantics during action generation. To systematically analyze this issue, we introduce ICBench, a diagnostic benchmark constructed from the LIBERO dataset that probes language–action coupling …

Facevalue: Exploring Real-Time Self-View Overlays To Prompt Meaning-Oriented Self-Awareness In Remote Meetings, Gun Woo (Warren) Park, Anthony Tang, Fanny Chevalier

Research Collection School Of Computing and Information Systems

In remote video meetings, visual non-verbal cues, such as facial expressions or head movements, are seen continuously but often only partially. This increases ambiguity compared to in-person settings and can cause misinterpretation or misalignment between intended and perceived meaning. Motivated by communication theories, we designed FaceValue, a technology probe that augments the self-view with private, real-time overlays. These overlays are subtle, suggestive prompts intended to help attendees reflect on how their cues might be interpreted by others. To invite personal interpretation, FaceValue avoids behavioral labeling and instead aims to support meaning-oriented self-awareness: recognizing when visible cues may unintentionally (mis)communicate intent. …

Revised Draft Final Annual Operations And Maintenance (O&M) Report: Butte Treatment Lagoon (Btl) System – 2025, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2023 Unreclaimed Sites Sampling: Ur-42 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Monthly Progress Report Butte Priority Soils Operable Unit Consent Decree Partial Remedial Design/Remedial Action And Operation And Maintenance - September 2026, Atlantic Richfield Company

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Analysis And Conservation Of Hodínöhšö:Ni:H Basketry At The Seneca- Iroquois National Museum, Elena L. Best

Art Conservation Master's Projects

This master’s project documents the analysis, conservation, and collaborative stewardship of Hodínöhšö:ni:h basketry at the Seneca–Iroquois National Museum (SINM), housed within the Onöhsagwë:dé Cultural Center. The project represents a continued partnership between SINM and the Garman Art Conservation Department at SUNY Buffalo State University and addresses both immediate conservation needs and long-term collection care planning.

The multi-phased study included: (1) a condition survey of 115 mold-affected baskets (2) elemental analysis of selected pigments and materials using handheld X-ray fluorescence (XRF); (3) microbiological sampling and preliminary identification of fungal species present on select baskets; (4) the development and implementation of a …

"Stories About Black Heritage In Florence", William Lindsey Mcdonald

Writings

Annotated speech outline about African American heritage in Florence, Alabama. The speech includes an overview of African Americans in Florence and Muscle Shoals and a discussion of notable stories and figures, such as "Tom Brannon and the Capture of John A. Murrell" (winter 1834), Randall Campbell, Dred Scott, Edmund Patton, Sam Patton, and Parson Dick. The document also contains xerox portraits of the notable individuals mentioned.

Extradition In The Early Republic: International Law And Constitutional Authority, Curtis A. Bradley

University of Chicago Law Review

This Article is the first comprehensive account of the constitutional foundations of U.S. extradition practice and its relationship to international law. Through detailed analysis of early American extradition controversies—including the Longchamps Affair and the Robbins case—the Article shows how political actors and courts constructed the modern constitutional law of extradition, resolving key issues concerning presidential power, the role of the states, and the scope of congressional authority. This regime, the Article argues, emerged not from appeals to the constitutional text or original understandings, but rather from structural intuitions, consequentialist considerations, and, as time went on, historical traditions. As the Article …