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Dynamics-incorporated Modeling Framework for Stability Constrained Scheduling under High-penetration of Renewable Energy

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IEEE Transactions on Sustainable Energy 2025年第3期16卷 1673-1685页

作者： Wang, Jinning Li, Fangxing Fang, Xin Cui, Hantao She, Buxin Shuai, Hang Zhang, Qiwei Tomsovic, Kevin University of Tennessee Department of Electrical Engineering and Computer Science KnoxvilleTN37996 United States Mississippi State University Department of Electrical and Computer Engineering StarkvilleMS39762 United States NC State University Department of Electrical and Computer Engineering RaleighNC27606 United States Pacific Northwest National Laboratory RichlandWA99352 United States Johns Hopkins University Department of Environmental Health and Eng. BaltimoreMD21205 United States

In this paper, a modularized modeling framework is designed to enable a dynamics-incorporated power system scheduling under high-penetration of renewable energy. This unique framework incorporates an adapted hybrid symbolic-numeric approach to scheduling models, effectively bridging the gap between device- and system-level optimization models and streamlining the scheduling modeling effort. The adaptability of the proposed framework stems from four key aspects: extensible scheduling formulations through modeling blocks, scalable performance via effective vectorization and sparsity-aware techniques, compatible data structure aligned with dynamic simulators by common power flow data, and interoperable dynamic interface for bi-direction data exchange between steady-state generation scheduling and time-domain dynamic simulation. Through extensive benchmarks with various usage scenarios, the framework's accuracy and scalability are validated. The case studies also demonstrate the efficient interoperation of generation scheduling and dynamics, significantly reducing the modeling conversion work in stability-constrained grid operation towards high-penetration of renewable energy. © 2025 IEEE.

关键词： Adaptation models Dynamic scheduling Numerical models Power system stability Power system dynamics Stability analysis Aerodynamics Transient analysis Computational modeling Renewable energy sources

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Power-Measurement-Based Channel Autocorrelation Estimation for IRS-Assisted Wideband Communications

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4647-4662页

作者： Sun, He Zhu, Lipeng Mei, Weidong Zhang, Rui National University of Singapore Department of Electrical and Computer Engineering 117583 Singapore University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications 611731 China The Chinese University of Hon g Kong School of Science and Engineering Shenzhen Research Institute of Big Data Guangdong Shenzhen518172 China

Channel state information (CSI) is essential to the performance optimization of intelligent reflecting surface (IRS)-aided wireless communication systems. However, the passive and frequency-flat reflection of IRS, as well as the high-dimensional IRS-reflected channels, have posed practical challenges for efficient IRS channel estimation, especially in wideband communication systems with significant multi-path channel delay spread. To tackle the above challenge, we propose a novel neural network (NN)-empowered IRS channel estimation and passive reflection design framework for the wideband orthogonal frequency division multiplexing (OFDM) communication system based only on the user’s reference signal received power (RSRP) measurements with time-varying random IRS training reflections. As RSRP is readily accessible in existing communication systems, our proposed channel estimation method does not require additional pilot transmission in IRS-aided wideband communication systems. In particular, we show that the average received signal power over all OFDM subcarriers at the user terminal can be represented as the prediction of a single-layer NN composed of multiple subnetworks with the same structure, such that the autocorrelation matrix of the wideband IRS channel can be recovered as their weights via supervised learning. To exploit the potential sparsity of the channel autocorrelation matrix, a progressive training method is proposed by gradually increasing the number of subnetworks until a desired accuracy is achieved, thus reducing the training complexity. Based on the estimates of IRS channel autocorrelation matrix, the IRS passive reflection is then optimized to maximize the average channel power gain over all subcarriers. Numerical results indicate the effectiveness of the proposed IRS channel autocorrelation matrix estimation and passive reflection design under wideband channels, which can achieve significant performance improvement compared to the existing IRS re

关键词： Orthogonal frequency division multiplexing

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Active terahertz beam steering based on mechanical deformation of liquid crystal elastomer metasurface

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Light(science & Applications) 2023年第1期12卷 118-127页

作者： Xiaolin Zhuang Wei Zhang Kemeng Wang Yangfan Gu Youwen An Xueqian Zhang Jianqiang Gu Dan Luo Jiaguang Han Weili Zhang Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering Key Laboratory of Optoelectronic Information TechnologyMinistry of EducationTianjin University300072 TianjinChina Department of Electrical and Electronic Engineering Southern University of Science and Technology518055 ShenzhenChina School of Electrical and Computer Engineering Oklahoma State UniversityStillwaterOK 74078USA

Active metasurfaces are emerging as the core of next-generation optical devices with their tunable optical responses and flat-compact *** for the terahertz band,active metasurfaces have been developed as fascinating devices for optical chopping and compressive sensing ***,performance regulation by changing the dielectric parameters of the integrated functional materials exhibits severe limitations and parasitic ***,we introduce a C-shape-split-ring-based phase discontinuity metasurface with liquid crystal elastomer as the substrate for infrared modulation of terahertz ***-focused infrared light is applied to manipulate the deflection of the liquid crystal elastomer substrate,enabling controllable and broadband wavefront steering with a maximum output angle change of 22°at *** as another control method is also investigated and compared with infrared *** further demonstrate the performance of liquid crystal elastomer metasurface as a beam steerer,frequency modulator,and tunable beam splitter,which are highly desired in terahertz wireless communication and imaging *** proposed scheme demonstrates the promising prospects of mechanically deformable metasurfaces,thereby paving the path for the development of reconfigurable metasurfaces.

关键词： tunable modulator beam

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Stock Recommendation System for Better Investment Plan

Stock Recommendation System for Better Investment Plan

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2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2024

作者： Lokesh, D. Aravind Vasan, G. Vani, V. Karthik, N. National Institute of Technology Puducherry Department of Computer Science and Engineering Karaikal India National Institute of Technology Puducherry Department of Electrical and Electronics Engineering Karaikal India

ISBN: (数字)9798331540685

ISBN: (纸本)9798331540685

In the volatile landscape of financial markets, making well-informed decisions for intraday trading and long-term investment necessitates an integrated analysis of real-time stock data and the contextual information provided by news articles. This paper presents an innovative stock recommendation system that leverages advanced Machine Learning (ML) techniques and Natural Language Processing (NLP) to deliver timely, data-driven recommendations by assessing both risk and profit potential. Our system employs ML algorithms to process live stock price, trading volume, and technical indicators, enabling real-time assessment of a stock's performance. Developing a stock recommendation system is a challenging undertaking that frequently calls for a multidisciplinary team with experience in data science, machine learning, and finance. Simultaneously, it harnesses NLP models to extract sentiment and contextual information from news articles, providing insights into market sentiment and potential impact on stock behavior. By merging these two streams of data, our system offers a comprehensive view of stock's dynamics. © 2024 IEEE.

关键词： Recommender systems

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Machine Translation for Morphologically Rich Low-Resourced South African Languages 4

Machine Translation for Morphologically Rich Low-Resourced S...

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4th International Multidisciplinary Information technology and engineering Conference, IMITEC 2024

作者： Masethe, Hlaudi Daniel Mothapo, Lawrence M Ojo, Sunday O. Owolawi, Pius A. Masethe, Mosima Anna Giunchigilia, Fausto Tshwane University of Technology Department of Data Science South Africa Durban University of Technology Department of Information Technology South Africa Tshwane University of Technology Department of Computer Engineering South Africa Sefako Makgatho Health Sciences University Department of Computer Science and Information Technology South Africa University of Trento Department of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350387988

In the context of machine translation, many of South Africa's languages are categorized as low-resourced, despite the country's vast linguistic diversity. Creating efficient multilingual translation systems that can support languages like Afrikaans, Sesotho sa Leboa (Sepedi), isiNdebele, Setswana, isiXhosa, Xitsonga, siSwati and isiZulu are severely hampered by the lack of high-quality training data. Low translation accuracy and fluency are the result of existing translation models' frequent inability to perform well in these languages. As a result, speakers of these languages encounter difficulties using increasingly accessible online resources for information and services. By utilizing the MarianMT model to create a reliable multilingual machine translation system, this work seeks to address these issues by enhancing the quality of translation for South African languages with limited resources. This study presents a comprehensive approach to multilingual machine translation focused on low-resourced South African languages, utilizing the MarianMT model. Our objective was to enhance translation quality for languages with limited training data, including Afrikaans, Sesotho sa Leboa (Sepedi), isiNdebele, Setswana, IsiXhosa, Xitsonga, siSwati and isiZulu. We conducted extensive experiments, resulting in a BLEU score of 62%, indicating a significant improvement in translation. Our evaluation metrics demonstrated strong performance, with precision at 78%, recall at 81%, F1 score at 79%, and overall accuracy at 82%. © 2024 IEEE.

关键词： Neural machine translation

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Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths 38

Paths, Proofs, and Perfection: Developing a Human-Interpreta...

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38th AAAI Conference on Artificial Intelligence, AAAI 2024

作者： Sidorov, Konstantin de Almeida Correia, Gonçalo Homem de Weerdt, Mathijs Demirović, Emir Algorithmics Group Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Netherlands Faculty of Civil Engineering and Geosciences Delft University of Technology Netherlands

ISBN: (纸本)1577358872

People want to rely on optimization algorithms for complex decisions but verifying the optimality of the solutions can then become a valid concern, particularly for critical decisions taken by non-experts in optimization. One example is the shortest-path problem on a network, occurring in many contexts from transportation to logistics to telecommunications. While the standard shortest-path problem is both solvable in polynomial time and certifiable by duality, introducing side constraints makes solving and certifying the solutions much harder. We propose a proof system for constrained shortest-path problems, which gives a set of logical rules to derive new facts about feasible solutions. The key trait of the proposed proof system is that it specifically includes high-level graph concepts within its reasoning steps (such as connectivity or path structure), in contrast to using linear combinations of model constraints. Using our proof system, we can provide a step-by-step, human-auditable explanation showing that the path given by an external solver cannot be improved. Additionally, to maximize the advantages of this setup, we propose a proof search procedure that specifically aims to find small proofs of this form using a procedure similar to A* search. We evaluate our proof system on constrained shortest path instances generated from real-world road networks and experimentally show that we may indeed derive more interpretable proofs compared to an integer programming approach, in some cases leading to much smaller proofs. Copyright © 2024, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Integer programming

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Leveraging hierarchical semantic‐emotional memory in emotional conversation generation

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CAAI Transactions on Intelligence technology 2023年第3期8卷 824-835页

作者： Min Yang Zhenwei Wang Qiancheng Xu Chengming Li Ruifeng Xu Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhenChina School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaUSA School of Intelligent Systems Engineering Sun Yat‐Sen UniversityGuangzhouChina School of Computer Science Harbin Institute of Technology(Shenzhen)ShenzhenChina

Handling emotions in human‐computer dialogues has emerged as a challenging task which requires artificial intelligence systems to generate emotional responses by jointly perceiving the emotion involved in the input posts and incorporating it into the gener-ation of semantically coherent and emotionally reasonable ***,most previous works generate emotional responses solely from input posts,which do not take full advantage of the training corpus and suffer from generating generic *** this study,we introduce a hierarchical semantic‐emotional memory module for emotional conversation generation(called HSEMEC),which can learn abstract semantic conver-sation patterns and emotional information from the large training *** learnt semantic and emotional knowledge helps to enrich the post representation and assist the emotional conversation *** experiments on a large real‐world conversation corpus show that HSEMEC can outperform the strong baselines on both automatic and manual *** reproducibility,we release the code and data publicly at:https://***/siat‐nlp/HSEMEC‐code‐data.

关键词： deep learning emotional conversation generation semantic‐emotional memory

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Transient DC Bias Suppression Strategy for Dual Active Bridge DC/DC Converters Based on Adaptive Virtual Resistance Compensation 5

Transient DC Bias Suppression Strategy for Dual Active Bridg...

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5th International Conference on Power engineering, ICPE 2024

作者： Li, Mingxue Mei, Xinyu Zhang, Yue Yu, Dongsheng China University of Mining and Technology School of Electrical Engineering Xuzhou China China University of Mining and Technology School of Computer Science and Technology Xuzhou China

ISBN: (纸本)9798331531140

For dual active bridge (DAB) DC/DC converters, DC bias of the inductor current caused by the system parameters variation increases system losses, leads to core saturation, and even jeopardizes the safe and reliable operation. To solve it, a transient DC bias suppression strategy based on adaptive virtual resistance compensation is proposed in this paper. The transient mathematical model of a DAB converter with DC bias is built. On this basis, the phase shift is compensated to simulate the transient characteristic of real-resistance compensation, where the virtual resistance can be dynamically adjusted according to the DC bias. Thus, the transient DC bias can be suppressed without additional circuits, and the simulation results verify its feasibility and effectiveness. © 2024 IEEE.

关键词： Electromagnetic transients

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COMPARATIVE STUDY OF MECHANICAL PERFORMANCE OF MICROWAVE-CURED AND AUTOCLAVE-CURED CARBON/EPOXY COMPOSITES 10

COMPARATIVE STUDY OF MECHANICAL PERFORMANCE OF MICROWAVE-CUR...

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10th Composites and Advanced Materials Expo, CAMX 2024

作者： Pundhir, N. Heskin, M. Luo, W. Chandrashekhara, K. Wilcox, L. Donnell, K. Department of Mechanical and Aerospace Engineering Missouri University of Science and Technology RollaMO65409 United States Department of Electrical and Computer Engineering Missouri University of Science and Technology RollaMO65409 United States

ISBN: (纸本)9781934551462

The unique combination of properties offered by carbon fiber-reinforced polymer composites has led to their widespread adoption in aerospace, automotive, and other industries due to their high specific stiffness and strength properties. The present study investigates the potential of vacuum-assisted microwave curing for carbon fiber-reinforced polymer composites which presents several advantages over traditional autoclave curing methods. Microwave curing offers reduced cycle times, volumetric heating, enhanced safety, and lower energy consumption. This comprehensive approach evaluates the feasibility and efficacy of vacuum-assisted microwave curing for carbon fiber-reinforced polymer composites by comparing the manufactured composites against traditional autoclave composites. Mechanical properties and microstructural characteristics were measured and examined to accomplish this. In the present work, industrially available IM7/Cycom 5320-1 unidirectional prepreg with 33% resin by weight and a fiber area weight of 145 g/m2 is employed to manufacture the laminated composite. A sixteen-layer symmetric cross-ply ([00/900]4s) and quasi-isotropic ([450/900/-450/00]2s) laminated composites are manufactured using a custom-built microwave curing chamber. Mechanical characterization of the microwave-cured composite is conducted through uniaxial tensile and flexural tests, with subsequent comparison to autoclave-cured samples. Optical microscopy is employed to estimate the quality of the manufactured samples. The results obtained from this study support advancements in composite manufacturing processes, particularly in the aerospace and automotive sectors. Copyright 2024. Used by CAMX – The Composites and Advanced Materials Expo.

关键词： Laminated composites

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Retinal Blood Vessel Tracking and Diameter Estimation via Gaussian Process With Rider Optimization Algorithm

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IEEE Journal of Biomedical and health Informatics 2024年第3期28卷 1173-1184页

作者： Ahmad, Nehal Lai, Kuan-Ting Tanveer, M. Indian Institute of Technology Indore Simrol Department of Mathematics Indore453552 India National Taipei University of Technology Department of International Program of Electrical Engineering and Computer Science Taipei106 Taiwan National Taipei University of Technology Department of Electronic Engineering Taipei106 Taiwan

Retinal blood vessels structure analysis is an important step in the detection of ocular diseases such as diabetic retinopathy and retinopathy of prematurity. Accurate tracking and estimation of retinal blood vessels in terms of their diameter remains a major challenge in retinal structure analysis. In this research, we develop a rider-based Gaussian approach for accurate tracking and diameter estimation of retinal blood vessels. The diameter and curvature of the blood vessel are assumed as the Gaussian processes. The features are determined for training the Gaussian process using Radon transform. The kernel hyperparameter of Gaussian processes is optimized using Rider Optimization Algorithm for evaluating the direction of the vessel. Multiple Gaussian processes are used for detecting the bifurcations and the difference in the prediction direction is quantified. The performance of the proposed Rider-based Gaussian process is evaluated with mean and standard deviation. Our method achieved high performance with the standard deviation of 0.2499 and mean average of 0.0147, which outperformed the state-of-the-art method by 6.32%. Although the proposed model outperformed the state-of-the-art method in normal blood vessels, in future research, one can include tortuous blood vessels of different retinopathy patients, which would be more challenging due to large angle variations. We used Rider-based Gaussian process for tracking blood vessels to obtain the diameter of retinal blood vessels, and the method performed well on the 'STrutred Analysis of the REtina (STARE) Database' accessed on Oct. 2020 (https://***/~ahoover/stare/). To the best of our knowledge, this experiment is one of the most recent analysis using this type of algorithm. © 2013 IEEE.

关键词： Blood vessels

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