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IEEE General Meeting Power& Energy Society

作者： Mohammad Abujubbeh Kumarsinh Jhala Karthikeyan Balasubramaniam Department of Electrical Engineering and Computer Engineering graduate intern at Argonne National Laboratory Kansas State University Center for Energy Environmental and Economic Systems Analysis (CEEESA) Argonne National Laboratory

With the increased penetration levels of behind-the-meter distributed energy resources in the distribution system and large utility-scale resources in the transmission system, it is critical to model and control these resources in an efficient and scalable manner to maintain the grid voltage stability. Traditional methods of voltage control mechanisms address the issue of voltage control in either transmission or distribution systems in isolation, which is not optimal. Therefore, there is a need for a co-optimization approach for improved grid efficiency. This work presents a bi-level architecture for transmission and distribution system voltage co-optimization. The proposed architecture uses sequential updates between the transmission and distribution system for improved accuracy. The proposed approach has been verified on the IEEE 9-bus transmission system coupled with the IEEE 13 and IEEE 123 node test distribution systems. In addition to capturing the impact of systems on each other, results show that the proposed approach helps to eliminate voltage violations at both the transmission and distribution systems.

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Efficient Transceiver Design for MIMO Dual-Function Radar-Communication Systems

Efficient Transceiver Design for MIMO Dual-Function Radar-Co...

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作者： Wen, Cai Huang, Yan Davidson, Timothy N. Northwest University School of Information Science and Technology X'ian710127 China McMaster University Department of Electrical and Computer Engineering HamiltonONL8S 4L8 Canada Southeast University School of Information Science and Engineering State Key Laboratory of Millimeter Waves Nanjing211189 China

This article considers jointly optimizing the transmitting (Tx) waveform and the receivers of a multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system. The proposed approach incorporates the design of the (complex-valued) communication receiving (Rx) coefficients, in addition to the radar Rx filters. We address the problem of maximizing the minimum radar signal-to-interference-plus-noise ratio (SINR) subject to communication SINR, per-antenna power and peak-to-average-power ratio (PAPR) constraints. A successive convex approximation (SCA) algorithm is developed to find a good solution for the resultant nonconvex design problem. To accelerate that algorithm and to improve the solution quality, we further propose a local-approximation-refinement SCA (LAR-SCA) algorithm which possesses guaranteed convergence properties. In addition, a sub-block design technique is developed to reduce the design complexity in the case of long Tx sequences. Numerical results show that by incorporating the communication Rx coefficients into the joint design, the radar and communication capabilities of the DFRC system can be significantly enhanced over the state-of-the-art designs, while maintaining an efficient algorithm. © 1991-2012 IEEE.

关键词： Signal to noise ratio

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Secure Routing for Mobile Ad hoc Networks

arXiv

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arXiv 2024年

作者： Papadimitratos, Panagiotis Haas, Zygmunt J. Wireless Networks Laboratory School of Electrical and Computer Engineering Cornell University 395 and 323 F.T. Rhodes Hall IthacaNY14853 United States

The emergence of the Mobile Ad Hoc Networking (MANET) technology advocates self-organized wireless interconnection of communication devices that would either extend or operate in concert with the wired networking infrastructure or, possibly, evolve to autonomous networks. In either case, the proliferation of MANET-based applications depends on a multitude of factors, with trustworthiness being one of the primary challenges to be met. Despite the existence of well-known security mechanisms, additional vulnerabilities and features pertinent to this new networking paradigm might render such traditional solutions inapplicable. In particular, the absence of a central authorization facility in an open and distributed communication environment is a major challenge, especially due to the need for cooperative network operation. In particular, in MANET, any node may compromise the routing protocol functionality by disrupting the route discovery process. In this paper, we present a route discovery protocol that mitigates the detrimental effects of such malicious behavior, as to provide correct connectivity information. Our protocol guarantees that fabricated, compromised, or replayed route replies would either be rejected or never reach back the querying node. Furthermore, the protocol responsiveness is safeguarded under different types of attacks that exploit the routing protocol itself. The sole requirement of the proposed scheme is the existence of a security association between the node initiating the query and the sought destination. Specifically, no assumption is made regarding the intermediate nodes, which may exhibit arbitrary and malicious behavior. The scheme is robust in the presence of a number of non-colluding nodes, and provides accurate routing information in a timely manner. Copyright © 2024, The Authors. All rights reserved.

关键词： Mobile ad hoc networks

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Cloud and Edge based Smart Agriculture: A Real-World Deployment

Cloud and Edge based Smart Agriculture: A Real-World Deploym...

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2024 International Conference on Circuit, Systems and Communication, ICCSC 2024

作者： Et-Taibi, Bouali Abid, Mohamed Riduan Boufounas, El-Mahjoub Benhaddou, Driss Moulay Ismail University of Meknès Reipt Laboratory Faculty of Sciences and Technology of Errachidia Morocco Al Akhawayn University in Ifrane School of Science and Engineering Ifrane53000 Morocco Columbus State University Tsys School of Computer Science ColumbusGA31907 United States University of Houston Department of Engineering Technology 4800 Calhoun Rd HoustonTX77004 United States Alfaisal University College of Engineering Electrical Engineering Department Riyadh Saudi Arabia

ISBN: (纸本)9798350365306

Smart Agriculture presents significant opportunities for transforming farming methods, although its widespread adoption remains constrained by cost barriers, especially for small and medium-sized farmers. To bridge this divide, we propose a cost-effective solution tailored specifically for soilless cultivation within drip irrigation systems. Our approach harnesses the power of IoT, cloud computing, and edge computing to bolster connectivity and streamline data management. Central to our solution is a three-tiered open-source software architecture, which encompasses local sensors, edge computing, and cloud computing layers. Locally deployed Wireless Sensor Networks facilitate real-time monitoring and data acquisition, while the edge tier orchestrates irrigation tasks in the field using Fuzzy Logic algorithms. The cloud layer serves as the backbone for data analytics, storage, and visualization, ensuring optimal resource management. Through the utilization of IoT protocols, seamless communication is established between sensors, edge devices, and the cloud, enabling efficient data exchange and analysis. Our tangible prototype validates the effectiveness of this platform in optimizing drip irrigation systems. This offering provides an accessible solution for small and medium-scale farmers, empowering them to enhance farming productivity and sustainability. © 2024 IEEE.

关键词： Smart agriculture

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Transfer Learning Trained LSTM Models for Household Load Profile Forecasting

Transfer Learning Trained LSTM Models for Household Load Pro...

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Grid Edge Technologies Conference & Exposition (Grid Edge), IEEE PES

作者： Roshan Klein-Seetharaman Xiangqi Zhu Barry Mather Department of Mathematics Yale University New Haven USA Electrical Engineering and Computer Science Oregon State University Corvallis USA National Renewable Energy Laboratory Power System Engineering Center Golden USA

ISBN: (数字)9798350352528

ISBN: (纸本)9798350352535

Grid edge renewable energy resources, such as rooftop solar photovoltaics, closely interact with consumer load profiles. Therefore, forecasting future electricity demand, ideally at the individual household level, is indispensable. In this paper, we present a transfer learning enhanced household load profile forecasting method. First, we tune a long short-term memory forecasting model to perform day-ahead prediction of household electricity load profiles. Then we improve these individualized models using transfer learning, and we use k-means clustering to create optimal source data sets. We find average improvements of 4.38% (largest improvement of 10.71%) when the entire data set was used to train the source model and 2.45% (largest improvement of 11.57%) in the mean absolute error when households were first clustered and used to train separate source models for each cluster. We find that transfer learning with clustered data can effectively boost the forecasting performance of the LSTM models. We use realistic household power measurements for 148 real residential households in Austin, Texas.

关键词： Photovoltaic systems Renewable energy sources Power measurement Electricity Transfer learning Predictive models Data models Forecasting Long short term memory Load modeling

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BREAKING SPEAKER RECOGNITION WITH PADDINGBACK

arXiv

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arXiv 2023年

作者： Ye, Zhe Yan, Diqun Dong, Li Shen, Kailai Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Zhejiang Key Laboratory of Mobile Network Application Technology China

Machine Learning as a Service (MLaaS) has gained popularity due to advancements in Deep Neural Networks (DNNs). However, untrusted third-party platforms have raised concerns about AI security, particularly in backdoor attacks. Recent research has shown that speech backdoors can utilize transformations as triggers, similar to image backdoors. However, human ears can easily be aware of these transformations, leading to suspicion. In this paper, we propose PaddingBack, an inaudible backdoor attack that utilizes malicious operations to generate poisoned samples, rendering them indistinguishable from clean ones. Instead of using external perturbations as triggers, we exploit the widely-used speech signal operation, padding, to break speaker recognition systems. Experimental results demonstrate the effectiveness of our method, achieving a significant attack success rate while retaining benign accuracy. Furthermore, PaddingBack demonstrates the ability to resist defense methods and maintain its stealthiness against human perception. Copyright © 2023, The Authors. All rights reserved.

关键词： Deep neural networks

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Unsupervised Congestion Status Identification Using LMP Data

arXiv

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arXiv 2024年

作者： Zheng, Kedi Chen, Qixin Wang, Yi Kang, Chongqing Xie, Le The State Key Lab of Power Systems Department of Electrical Engineering Tsinghua University China Power Systems Laboratory Department of Information Technology and Electrical Engineering ETH Zürich Zürich8092 Switzerland Department of Electrical & Computer Engineering Texas A&M University United States

Having a better understanding of how locational marginal prices (LMPs) change helps in price forecasting and market strategy making. This paper investigates the fundamental distribution of the congestion part of LMPs in high-dimensional Euclidean space using an unsupervised approach. LMP models based on the lossless and lossy DC optimal power flow (DCOPF) are analyzed to show the overlapping subspace property of the LMP data. The congestion part of LMPs is spanned by certain row vectors of the power transfer distribution factor (PTDF) matrix, and the subspace attributes of an LMP vector uniquely are found to reflect the instantaneous congestion status of all the transmission lines. The proposed method searches for the basis vectors that span the subspaces of congestion LMP data in hierarchical ways. In the bottom-up search, the data belonging to 1-dimensional subspaces are detected, and other data are projected on the orthogonal subspaces. This procedure is repeated until all the basis vectors are found or the basis gap appears. Top-down searching is used to address the basis gap by hyperplane detection with outliers. Once all the basis vectors are detected, the congestion status can be identified. Numerical experiments based on the IEEE 30-bus system, IEEE 118-bus system, Illinois 200-bus system, and Southwest Power Pool are conducted to show the performance of the proposed method. Copyright © 2024, The Authors. All rights reserved.

关键词： Vectors

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AuRoRA: A One-for-all Platform for Augmented Reasoning and Refining with Task-Adaptive Chain-of-Thought Prompting 30

AuRoRA: A One-for-all Platform for Augmented Reasoning and R...

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Zou, Anni Zhang, Zhuosheng Zhao, Hai Li, Xiaoshan Bian, Minjie Department of Computer Science and Engineering Shanghai Jiao Tong University China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University China Shanghai Technology Innovation Department Shanghai Data Group Co. Ltd. China Shanghai Data Group Co. Ltd. China

ISBN: (纸本)9782493814104

Large language models (LLMs) empowered by chain-of-thought (CoT) prompting have yielded remarkable prowess in reasoning tasks. Nevertheless, current methods predominantly lean on handcrafted or task-specific demonstrations, lack reliable knowledge basis and thus struggle for trustworthy responses in an automated pattern. While recent works endeavor to improve upon one certain aspect, they ignore the importance and necessity of establishing an integrated and interpretable reasoning system. To address these drawbacks and provide a universal solution, we propose AuRoRA: a one-for-all platform for augmented reasoning and refining based on CoT prompting that excels in adaptability, reliability, integrity, and interpretability. The system exhibits superior performances across six reasoning tasks and offers real-time visual analysis, which has pivotal academic and application value in the era of LLMs. The AuRoRA platform is available at https://***/spaces/Anni123/AuRoRA. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Refining

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On Security-Constrained Bidding of Shared Transportation Hubs for Renewable Fuels and Refined Oil Participating Within Energy, Regulation and Pipeline Logistics Markets

On Security-Constrained Bidding of Shared Transportation Hub...

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IEEE Student Conference on Electric Machines and Systems

作者： Shengshi Wang Hongyi Li Danji Huang Kun Li Shichang Cui Xiaomeng Ai Jiakun Fang Jinyu Wen State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China School of Engineering Cardiff University Cardiff UK Department of Electrical and Computer Engineering Iowa State University Ames United States Department of Electrical and Computer Engineering University of Macau Macau China PetroChina ShenZhen New Energy Research Institute Co. Ltd. Shenzhen China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

This paper investigates the security-constrained bidding strategy of the emerging shared transportation hubs for renewable fuels and refined oil (STH-RRs) participating within energy, regulation and pipeline logistics markets. Firstly, to excavate more flexible capability for the power system as well as to increase the revenue of the STH-RR operation company, the model for STH-RR participating in regulation market is established. Secondly, the security-constrained two-stage bidding model is first proposed for STH-RRs to balance the revenue across energy, regulation and pipeline logistics markets. Particularly, to guarantee secure operation of STH-RRs and meet the delivery demand, the rigorous multi-product transportation constraints are considered in both stages. Case studies based on the modified real-world multi-product pipelines in South China validate the proposed method, with the revenue and turnover increase of 14% and 4.7%, respectively, compared with conventional methods.

关键词： Renewable energy sources Uncertainty Oils Pipelines Transportation Regulation Fuels Frequency control Logistics Testing

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Evaluating the thermal performance of perovskite SrSnO3field effect transistors 22

Evaluating the thermal performance of perovskite SrSnO3field...

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22nd InterSociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, ITherm 2023

作者： Bista, Bivek Golani, Prafful Liu, Fengdeng Truttmann, Tristan Pavlidis, Georges Centrone, Andrea Jalan, Bharat Koester, Steven University of Connecticut Department of Mechanical Engineering StorrsCT06269 United States University of Minnesota Department of Electrical and Computer Engineering MinneapolisMN55455 United States University of Minnesota Department of Chemical Engineering and Materials Science MinneapolisMN55455 United States National Institute of Standards and Technology Physical Measurement Laboratory GaithersburgMD20899 United States

ISBN: (纸本)9798350321661

Given the ever increasing, global electricity consumption, improving the efficiency and reliability of high-power electronics is of paramount importance. Ultra-wide band gap (> 3.4 eV) semiconductors have shown the potential to be used in the next generation of power electronics due to their high breakdown field and mobility. Specifically, high-quality growth of doped strontium stannate perovskite-oxide (SSO) has been recently demonstrated. The thermal properties of this novel material, however, have not been fully investigated and could be the limiting factor (excessive junction temperatures) to maximize device performance. In this study, high resolution (approx mathbf{410} mathbf{nm}) transient thermoreflectance imaging (TTI) is used to obtain temperature maps of SSO two-terminal devices with varying channel width (mathbf{10} boldsymbol{mu} mathbf{m} to mathbf{20} boldsymbol{mu} mathbf{m}). The results show that the device thermal resistance increases by approx mathbf{21} {%} due to the increase in thermal spreading resistance with channel width. The observed trend is further confirmed via transient thermal analysis where the thermal time constant is shown to increase from mathbf{20}.mathbf{9} boldsymbol{mu}mathbf{s} to mathbf{29}.mathbf{9} boldsymbol{mu}mathbf{s}. Overall, the active layer thicknesses and device geometry (length and width), must be carefully considered to improve device performance and lifetime. © 2023 IEEE.

关键词： Perovskite

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