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Articles 78241 - 78270 of 1114117
Full-Text Articles in Entire DC Network
The Power Of Procedure: Uncovering The Gap In U.S. Privacy Rights, Bernard Chao, Mandi Abbott
The Power Of Procedure: Uncovering The Gap In U.S. Privacy Rights, Bernard Chao, Mandi Abbott
Sturm College of Law: Faculty Scholarship
As Congress faces increasing pressure to adopt comprehensive privacy legislation, this article seeks to contribute to the ongoing discussions by exploring critical procedural deficiencies in U.S. privacy laws and their implications for both domestic privacy rights and international data flows. The article makes several key contributions to the field. First, it uses a comparative law perspective to highlight the lack of robust procedural rights and remedies in U.S. privacy law. Second, while many have questioned whether the Court of Justice for the European Union will strike down the latest US-EU Data Privacy Framework (the primary mechanism for allowing the transatlantic …
Viewbook 2024, New York Law School
Review And Prospect On Cyber Threat Indicators Of Substation Monitoring System, Xiangshuo Li, Guanghui Chang, Sheng Su, Chong Ruan, Po Wu, Bin Li
Review And Prospect On Cyber Threat Indicators Of Substation Monitoring System, Xiangshuo Li, Guanghui Chang, Sheng Su, Chong Ruan, Po Wu, Bin Li
Journal of Electric Power Science and Technology
Cyber threat indicators (CTIs) refer to the information necessary to describe or identify cybersecurity threats in cyberspace. Effective CTIs that represent and depict attack behaviors are the foundation for ensuring cybersecurity. Compared with general information systems, the intensity and capability level of attacks that substation monitoring and control systems need to address exhibit significant differences. Organized attacks carried out by individuals with professional knowledge can infiltrate production control areas through supply chain attacks, bypass identity and access management restrictions, and may not necessarily trigger security alerts. Therefore, using CTIs designed for general information systems is inadequate for accurately detecting highly …
Research On Smart Energy Consumption Strategy Of Residents Participating In Peak Load Regulation, Jinzhi Wang, Lei Zhao, Fangming Deng, Ziwei Cao, Senlin Zhang, Rui Ma
Research On Smart Energy Consumption Strategy Of Residents Participating In Peak Load Regulation, Jinzhi Wang, Lei Zhao, Fangming Deng, Ziwei Cao, Senlin Zhang, Rui Ma
Journal of Electric Power Science and Technology
Focusing on enabling smart energy consumption for residential users, a smart energy strategy with incentives for residential users to participate in grid peak shaving is proposed. According to the load characteristics of household appliances, residential loads are classified into four categories, and corresponding mathematical models are established. Considering time constraints, electricity satisfaction constraints, and electricity bill satisfaction constraints, an optimization model for residential electricity consumption cost is established. Given that traditional time-of-use electricity pricing is inadequate in motivating residents to participate in grid peak shaving and valley filling, a peak shaving effect evaluation model is established based on cosine similarity, …
Demand Response Of Electric Vehicle Based On Dynamic Time‑To‑Use Electricity Price, Wenhao Ye, Yaohong Chen, Qin Yan, Xiaofan Tu
Demand Response Of Electric Vehicle Based On Dynamic Time‑To‑Use Electricity Price, Wenhao Ye, Yaohong Chen, Qin Yan, Xiaofan Tu
Journal of Electric Power Science and Technology
To incentivize electric vehicles (EVs) to participate in demand-side response to reduce the peak-to-valley difference in grid load and enhance the economic viability of EV electricity usage, the Monte Carlo method is used to simulate the unordered charging load of EVs. EVs are then categorized into three types based on whether they are regulated by the grid or guided by price signals. Subsequently, a dynamic time-of-use (TOU) pricing demand response model is established on the basis of the electricity price demand elasticity matrix, with the objectives of minimizing the mean square value of the grid's peak-to-valley difference and minimizing user …
Performance Enhancement Of Gas Heat Prevention And Deicing Of Wind Turbine Blades Based On Numerical Simulation Of Multi‑Heat Transfer Model, Zhongde Liu, Qiang Zhou, Helin Lei, Weijun Wu, Jiangbo Wu, Jie Li, Bishuang Fan, Bo Li
Performance Enhancement Of Gas Heat Prevention And Deicing Of Wind Turbine Blades Based On Numerical Simulation Of Multi‑Heat Transfer Model, Zhongde Liu, Qiang Zhou, Helin Lei, Weijun Wu, Jiangbo Wu, Jie Li, Bishuang Fan, Bo Li
Journal of Electric Power Science and Technology
Ice formation on wind turbine blades poses dual challenges to the operational safety and power generation efficiency of wind farms, making it urgent to de-ice wind turbines with severe icing. Air thermal deicing is an active anti-icing technology for blades, where hot air transfers heat from the inner surface to the outer surface of the blade through a combination of conduction and convection, melting the overlying ice layer. From the perspective of the heat transfer process alone, the processes of convective and conductive heat transfer in air thermal deicing are not particularly complex and can be studied through two methods: …
Robust Economic Optimization Of Microgrid Based On Scenario Probability Distribution Uncertainty And Probability Combination Scenario Performance, Xiaoxu Xu, Pengyuan Zheng, Haijie Qin, Yalin Wang
Robust Economic Optimization Of Microgrid Based On Scenario Probability Distribution Uncertainty And Probability Combination Scenario Performance, Xiaoxu Xu, Pengyuan Zheng, Haijie Qin, Yalin Wang
Journal of Electric Power Science and Technology
Addressing the uncertainties of renewable energy and load within isolated microgrids, a robust economic optimization approach for microgrids is proposed based on scenario probability distribution uncertainty and probabilistic combined scenario performance. The K-means clustering method is employed to preprocess extensive historical data, constructing a fuzzy set of data-driven scenario probability distributions. In the day-ahead planning phase, the binary expansion concept is introduced to discretize the probabilistic combination coefficients in continuous variable form, simplifying and effectively parameterizing the intensity and search interval of the worst-case scenario search. This extends the search range of the worst-case scenario effectively from the boundary of …
Optimal Operation Of Regional Integrated Energy System Including Electricity, Cooling, Heating And Gas, Chun Yi, Hui Xiao, Gongping Wu, Linjun Zeng, Xingyu Shi, Qin Yan
Optimal Operation Of Regional Integrated Energy System Including Electricity, Cooling, Heating And Gas, Chun Yi, Hui Xiao, Gongping Wu, Linjun Zeng, Xingyu Shi, Qin Yan
Journal of Electric Power Science and Technology
A regional integrated energy system (RIES) incorporates various energy sources such as wind and solar power, and cooling, heating and electrical loads, as well as batteries, offering advantages like enhancing the utilization of renewable energy. Firstly, considering the uncertainty of wind and solar power output, a robust optimization model with a polytopic uncertainty set is constructed to handle this uncertainty. Secondly, a multi-objective optimization model is established to minimize carbon emissions and operating costs, and a carbon emission penalty factor is introduced to convert the multi-objective into a single-objective for solution. Finally, simulations are conducted using an actual RIES, and …
Evaluation Of Park Integrated Energy System Based On Comprehensive Weighting And Cloud Entropy Optimization, Yuehua Huang, Shuohao Wang, Nan Yang, Chen Chen
Evaluation Of Park Integrated Energy System Based On Comprehensive Weighting And Cloud Entropy Optimization, Yuehua Huang, Shuohao Wang, Nan Yang, Chen Chen
Journal of Electric Power Science and Technology
As an important part of energy transformation, integrated energy system (IES) has attracted widespread attention from more and more countries. Establishing an evaluation system and method for IES that matches China's national conditions can not only lay a foundation for post-evaluation of IES planning and rank the planning schemes accordingly, but also improve the management level of IES projects and provide a reference for formulating a unified and complete IES evaluation criterion. To this end, combining the basic characteristics and operational features of the park IES, a comprehensive evaluation index system including four aspects of economy, reliability, environmental protection, and …
Analytical Solution For Small Signal Stability Of Grid‑Connected Converter, Mengtong Yuan, Yaolong Bo, Yanghong Xia, Wei Wei, Chengzhi Zhu
Analytical Solution For Small Signal Stability Of Grid‑Connected Converter, Mengtong Yuan, Yaolong Bo, Yanghong Xia, Wei Wei, Chengzhi Zhu
Journal of Electric Power Science and Technology
The phase-locked loop (PLL) is a core component for grid synchronization of power converters. Existing technologies commonly employ the PLL based on the synchronous reference frame (SRF-PLL). The introduction of SRF-PLL complicates the model of grid-connected converters and makes stability analysis challenging. Typically, numerical verification analysis is conducted using Bode plots, making it difficult to obtain analytical solutions and effectively reveal the underlying mechanisms of stability. Therefore, an algebraic operation-based PLL (AO-PLL) control technology is proposed, which offers faster synchronization and reduces the order of the converter model under this PLL control mode. Based on this, a closed-form analytical solution …
Elastic‑Plastic Deformation Analysis Of Power Transformer Windings Considering Cumulative Effect, Jun Liu, Peilong Chen, Qiansu Lü, Wenhao Ai, Xiaoqing Lin, Xu Li, Kun Li, Ning Xiao
Elastic‑Plastic Deformation Analysis Of Power Transformer Windings Considering Cumulative Effect, Jun Liu, Peilong Chen, Qiansu Lü, Wenhao Ai, Xiaoqing Lin, Xu Li, Kun Li, Ning Xiao
Journal of Electric Power Science and Technology
The deformation of windings caused by short circuits is one of the key factors leading to transformer failures. To explore the elastic-plastic deformation law of transformer windings under multiple short-circuit impacts, a SFZ7-31500/110 power transformer is taken as the research object to construct a three-dimensional finite element simulation model of the transformer. Through magnetic field-structure field coupling calculation, the leakage magnetic field distribution of the transformer and the magnitude of the electromotive force on the windings during short circuits are obtained. The deformation characteristics and cumulative effects of windings under multiple short-circuit impacts are systematically analyzed. The results show that …
Optimization Of User Participation In Electric Vehicle Charging Stations Considering Uncertainty Of User Decision, Tengsheng Chen, Ruquan Yang, Kunming Sui, Ping Dong
Optimization Of User Participation In Electric Vehicle Charging Stations Considering Uncertainty Of User Decision, Tengsheng Chen, Ruquan Yang, Kunming Sui, Ping Dong
Journal of Electric Power Science and Technology
In the context of demand response at electric vehicle charging stations, user participation has a significant impact on the economic benefits of charging stations. Based on prospect theory, an optimization method for user participation at charging stations is proposed, aiming to improve user participation and economic benefits by altering the composition and format of electricity prices at charging stations. Initially, a user price impact model is established to analyze the influence of charging station prices on electric vehicle users, yielding preliminary user quantity change rates. Subsequently, the value function in prospect theory is used to quantify the decision uncertainty of …
Dissecting The Interplay Of Protein Synthesis And Degradation Pathways In Cellular Adaptation To Stress, Brittany Friedson
Dissecting The Interplay Of Protein Synthesis And Degradation Pathways In Cellular Adaptation To Stress, Brittany Friedson
Theses and Dissertations
Adaptation to stress requires cells to reprogram transcription, translation, and proteolytic pathways. Although much is known about the response of each program, it remains unclear how they coordinate following stress. My studies in S. cerevisiae identified the Cdk8 kinase module (CKM) of the Mediator complex as a new player in coordinating these processes. It is well established that the CKM consists of four highly conserved proteins (cyclin C, its cognate kinase Cdk8, and two structural proteins Med12 and Med13) and predominantly represses a subset of stress responsive genes in yeast. We demonstrated for the first time that the CKM also …
Hoardings, Emilio R. Longoria
Burdening The “Skilled Searcher”: The Federal Circuit Falls Short Of Providing Ironclad Fixes To § 315(E) Estoppel Issues In Ironburg V. Valve, William Kehoe
Villanova Law Review (1956 - )
No abstract provided.
Parameters Identification Of Lithium Battery Based On Forgetting Factor Recursive Least Square Algorithm With Improved Initial Value, Wen Wang, Huaze Shi, Yufei Yue, Longji Li, Chuanping Wu, Yuxuan Tong
Parameters Identification Of Lithium Battery Based On Forgetting Factor Recursive Least Square Algorithm With Improved Initial Value, Wen Wang, Huaze Shi, Yufei Yue, Longji Li, Chuanping Wu, Yuxuan Tong
Journal of Electric Power Science and Technology
Accurate estimation of the state of charge (SOC) of lithium-ion batteries relies on precise model parameters. When using the forgetting factor recursive least square (FFRLS) algorithm for parameter identification of the equivalent circuit model of lithium-ion batteries, improper selection of initial iterative values can lead to low identification accuracy and slow convergence speed. To address this issue, circuit analysis is combined with the FFRLS algorithm, and then an improved initial value-FFRLS (IIV-FFRLS) algorithm is proposed. Firstly, offline identification is performed to obtain the equivalent circuit model parameters corresponding to various SOC points, which are then fitted using a polynomial function. …
A Recipe For Feeding Ourselves: New Hampshire’S First-Ever Food System Strategic Plan Is Underway, Robbin Ray
A Recipe For Feeding Ourselves: New Hampshire’S First-Ever Food System Strategic Plan Is Underway, Robbin Ray
Media Relations
No abstract provided.
Icing Prediction Model Of Transmission Line Based On Ihho‑Hkelm, Li Huang, Shuang Song, Chuang Liu, Junjun Wang, Dan Hu, Qixin He, Weiyi Lu
Icing Prediction Model Of Transmission Line Based On Ihho‑Hkelm, Li Huang, Shuang Song, Chuang Liu, Junjun Wang, Dan Hu, Qixin He, Weiyi Lu
Journal of Electric Power Science and Technology
To further improve the accuracy of transmission line icing prediction, a prediction model based on an improved Harris hawks optimization(IHHO) algorithm optimizing hybrid kernel extreme learning machine(HKELM) is proposed. The hybrid kernel function is introduced into the kernel extreme learning machine to form HKELM. The IHHO algorithm is improved by strategies such as golden sine, nonlinear decreasing inertia weight, and Gaussian random walk. The IHHO algorithm is then utilized to optimize the weight vector and kernel parameters of HKELM, establishing a transmission line icing prediction model based on IHHO-HKELM. The input variables of the icing prediction model are determined by …
Risk Zone Assessment Of Rainstorm Induced Waterlogging Associated Outage Of Distribution System With Consideration Of Micro‑Topography, Le Wang, Jie Tang, Yuanfei Huang, Ke Wang, Zenghong Jian
Risk Zone Assessment Of Rainstorm Induced Waterlogging Associated Outage Of Distribution System With Consideration Of Micro‑Topography, Le Wang, Jie Tang, Yuanfei Huang, Ke Wang, Zenghong Jian
Journal of Electric Power Science and Technology
Influenced by climate change, heavy rainfall and waterlogging have shown an increasing trend in recent years. The distribution system with a small power supply radius and insufficient flexibility in location selection is prone to large-scale power outages caused by waterlogging. Analysis points out that due to the lack of detailed records of waterlogging levels, there is a benchmark missing problem in the planning and construction of distribution systems in terms of waterlogging protection. Therefore, referring to disaster prevention methods such as ice disasters in power systems, and based on the analysis of storm inundation using a two-dimensional hydrodynamic model, this …
Llm4tdd: Best Practices For Test Driven Development Using Large Language Models, Sanyogita Piya, Allison Sullivan
Llm4tdd: Best Practices For Test Driven Development Using Large Language Models, Sanyogita Piya, Allison Sullivan
Association of Computing Machinery Open Access Agreement Publications-Archive
In today’s society, we are becoming increasingly dependent on software systems. However, we also constantly witness the negative impacts of buggy software. Program synthesis aims to improve software correctness by automatically generating the program given an outline of the expected behavior. For decades, program synthesis has been an active research field, with recent approaches looking to incorporate Large Language Model. This paper explores the concept of LLM4TDD, where we guide Large Language Models to generate code iteratively using a test-driven development methodology. We conduct an empirical evaluation using ChatGPT and coding problems from LeetCode to investigate the impact of different …
Remembering Lost Lives And Collective Healing From Trauma: Homicides, Incarceration, And Pain-Driven Advocacy In The Jane And Finch Community, Ardavan Eizadirad, Devon Jones, Greg Leslie, Tamasha Grant
Remembering Lost Lives And Collective Healing From Trauma: Homicides, Incarceration, And Pain-Driven Advocacy In The Jane And Finch Community, Ardavan Eizadirad, Devon Jones, Greg Leslie, Tamasha Grant
Education Faculty Publications
This article serves as a vessel for knowledge mobilization and activism as research, intertwining remembrance of lost lives and communal healing by sharing collective pain amongst the authors and bolstering mutual support. Guided by personal encounters with violence including death, homicides, and incarceration, four authors comprising a teacher, social worker, and two community activists, unveil their 20-year+ advocacy journey in the Jane and Finch community in Toronto, Canada including their involvement with programs and services through the non-profit organization Youth Association for Academics, Athletics, and Character Education (YAAACE). The pain and suffering are shared as symptoms of systemic trauma inflicted …
Transformer Fault Diagnosis Based On Dga And Tpe‑Lightgbm, Jinxin Yang, Caibo Liao, Xiong Hu, Wenqing Zhu, Xu Zhang, Bang Liu
Transformer Fault Diagnosis Based On Dga And Tpe‑Lightgbm, Jinxin Yang, Caibo Liao, Xiong Hu, Wenqing Zhu, Xu Zhang, Bang Liu
Journal of Electric Power Science and Technology
Dissolved gas analysis (DGA) is significant for early warning and diagnosis of transformer faults. To enhance the accuracy and reliability of transformer fault diagnosis, a transformer fault diagnosis method is proposed based on the tree-structured parzen estimator (TPE) algorithm to optimize the light gradient boosting machine (LightGBM). Firstly, a 16-dimensional DGA feature set including gas ratios and encodings in oil is established, and the least absolute shrinkage and selection operator (LASSO) algorithm is used to select effective feature quantities for transformer fault diagnosis. Secondly, a transformer fault diagnosis method based on LightGBM is constructed, and the TPE algorithm is introduced …
Comprehensive Computational Study On Transient Heat Transfer In Functionally Graded Longitudinal Fins Under Time-Varying Laser Heating, Hüseyi̇n Demi̇r, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keleş
Comprehensive Computational Study On Transient Heat Transfer In Functionally Graded Longitudinal Fins Under Time-Varying Laser Heating, Hüseyi̇n Demi̇r, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keleş
Turkish Journal of Mathematics
The present study assumes that the material properties of the fin vary by a force rule in the axial direction, with the exception of the thermal relaxation coefficient, which is assumed to be constant. The temperature distribution in the longitudinal fin with homogeneous cross-section exposed to the laser heat source is numerically investigated. This is because these constraints lead to a linear differential equation with partial solutions that can't be analytically resolved using conventional methods, except for a few elementary order functions. Consequently, a linear or non-linear system of equations as a function of time is obtained by transforming a …
A Note On The Hull And Linear Complementary Pair Of Cyclic Codes, Zohreh Aliabadi, Tekgül Kalayci
A Note On The Hull And Linear Complementary Pair Of Cyclic Codes, Zohreh Aliabadi, Tekgül Kalayci
Turkish Journal of Mathematics
The Euclidean hull of a linear code C is defined as C ∩ C⊥ , where C⊥ denotes the dual of C underthe Euclidean inner product. A linear code with the trivial hull is called a linear complementary dual (LCD) code. Apair (C,D) of linear codes of length n over the finite field Fq is called a linear complementary pair (LCP) of codes ifC ⊕ D = Fnq. More generally, a pair (C,D) of linear codes of the same length over Fq is called a linear ℓ -intersectionpair of codes if C ∩D has dimension ℓ as a vector space …
A Non-Newtonian Conics In Multiplicative Analytic Geometry, Aykut Has, Beyhan Yilmaz
A Non-Newtonian Conics In Multiplicative Analytic Geometry, Aykut Has, Beyhan Yilmaz
Turkish Journal of Mathematics
In this study, conics (circle, ellipse, hyperbola) are characterized by taking into account basic multiplicationoperations in multiplicative space. For this purpose, firstly multiplicative axes and regions are introduced. Additionally,the multiplicative cone definition is given and visualized on the figure. General definitions and theorems of non-Newtonianconics are given. Additionally, examples were given and drawings were made to make the resulting characterizations andtheorems more memorable.
Re: Butte Reduction Works (Brw) Phase Iii Quality Assurance Project Plan (Qapp) Request For Change Brw-2024-01, Josh Bryson
Re: Butte Reduction Works (Brw) Phase Iii Quality Assurance Project Plan (Qapp) Request For Change Brw-2024-01, Josh Bryson
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Two‑Stage Optimization Of Virtual Power Plant Participating In Secondary Frequency Regulation Using Improved Quantum Particle Swarm Optimization Algorithm, Jingkai Zhu, Yong Cui, Yang Du, Wei Jian, Bing Liu, Zhaoyu Sun
Two‑Stage Optimization Of Virtual Power Plant Participating In Secondary Frequency Regulation Using Improved Quantum Particle Swarm Optimization Algorithm, Jingkai Zhu, Yong Cui, Yang Du, Wei Jian, Bing Liu, Zhaoyu Sun
Journal of Electric Power Science and Technology
As a new type of regional energy management system, the virtual power plant (VPP) can efficiently participate in the secondary frequency regulation auxiliary services of the power grid through the coordinated optimal scheduling of "source-load-storage". This paper introduces the internal structure of the VPP, and models and analyzes the characteristics of new energy units and controllable loads. A two-stage scheduling model for the VPP participating in secondary frequency regulation is established, which can balance the net profit and frequency regulation effect of secondary frequency regulation. An improved quantum particle swarm optimization (QPSO) algorithm with adaptive weights is studied. By introducing …
Detection And Defense Of Multi‑Area Interconnected Power System Based On Cubature Kalman Filter Under Hybrid Attacks, Mengyan Chang, Yonghui Liu
Detection And Defense Of Multi‑Area Interconnected Power System Based On Cubature Kalman Filter Under Hybrid Attacks, Mengyan Chang, Yonghui Liu
Journal of Electric Power Science and Technology
This paper takes the multi-regional interconnected power system as the research object, and studies the detection and defense of multi-region interconnected power system under hybrid attack. Firstly, a mathematical model of multi-regional interconnected power system is established, the location and type of network attacks suffered by multi-regional interconnected power system are analyzed, and false data injection attacks and denial of service attack models are established. Secondly, diagnose denial of service attacks based on whether packets are received, and the recently received packet compensates for the lost packet, the defense of denial-of-service attack is realized. Then, based on the cubature Kalman …
Short‑Term Prediction Method Of Distributed Pv Output Power Based On K‑I‑Elm Multi‑Model Integration, Zhuohan Jiang, Shengyu Zhou, Yuqing He, Renjun Zhou, Chenhao Sun
Short‑Term Prediction Method Of Distributed Pv Output Power Based On K‑I‑Elm Multi‑Model Integration, Zhuohan Jiang, Shengyu Zhou, Yuqing He, Renjun Zhou, Chenhao Sun
Journal of Electric Power Science and Technology
In response to the "dual carbon" strategy, a new type of power system with a high proportion of renewable energy access has become the next development goal. As one of the main forms of current energy generation, photovoltaic (PV) power generation has characteristics such as multi-source, heterogeneous, and high-dimensional data distribution, which makes the mechanisms and effects of different features relatively complex and subsequently increases the difficulty of predicting the output of distributed PV systems. To address this, multiple categories of data mining models are integrated to construct an K-I-ELM prediction method for short-term PV output prediction in complex data …