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检索条件"任意字段=IEEE Canadian Conference on Electrical and Computer Engineering"

共 224818 条记录，以下是41-50 订阅

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Production Cost and Emissions Minimization Based on Renewable Energy Using Superiority of Feasible Solutions- Moth Flame Optimization 4

Production Cost and Emissions Minimization Based on Renewabl...

引用

4th International conference on Robotics, electrical and Signal Processing Techniques, ICREST 2025

作者： Alam, Mohammad Khurshed Sayem, Shaoran Sulaiman, Mohd Herwan Ferdowsi, Asma Islam, Mishiba Islam, Mohammad Zohurul American International University-Bangladesh Faculty of Electrical & Electronics Engineering Technology Dhaka Bangladesh Faculty of Electrical & Electronics Engineering Technology Pahang Pekan26600 Malaysia Sir Salimullah Medical College Hospital Pharmacology Department Dhaka1206 Bangladesh University of Louisiana at Lafayette Department of Electrical and Computer Engineering LA United States

ISBN: (纸本)9798331530938

This paper introduces a refined version of the Moth Flame Optimization (MFO) algorithm, Superiority of Feasible Solutions-Moth Flame Optimization (SF-MFO), in recognition of the significant influence of renewable energy on both production costs and secretion reduction in energy structure. To improve the symmetry among scrutiny and fleecing also to resolve the limitations of the early MFO, SF-MFO implements two significant enhancements. The algorithm's objective is to reduce emissions and optimize production costs by utilizing renewable energy sources, resulting in a combined reduction in both. Its primary intention is to decrease the total operating expense of the production system, as well as to address active power loss, voltage deviations at load buses, and the cost and emissions of combined units. The SF-MFO is analyse on ieee 30-bus and ieee 118-bus structure by transforming this multi-objective problem into a single-objective function with specific constraints and utilizing a bus location index to refine the list of candidate buses. The effectiveness and benefits of the suggested SF-MFO are then highlighted by contrasting the outcomes with those of other published algorithms. © 2025 ieee.

关键词： Premixed flames

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LSTM-Xgboost Model for Cyberattack Detection in Grid-Connected Solar PV Inverter System

LSTM-Xgboost Model for Cyberattack Detection in Grid-Connect...

引用

2025 ieee PES Grid Edge Technologies conference and Exposition, Grid Edge 2025

作者： Vodapally, Sai Nikhil Ali, Mohd. Hasan The University of Memphis Department of Electrical and Computer Engineering MemphisTN United States

ISBN: (纸本)9798350352528

Integration of solar photovoltaic (PV) system to the AC grid can be challenging due to the low-inertia nature of the inverters that affect the stability of the connected system. Therefore, smart grid-forming inverters that have fault handling capabilities and continuous system monitoring through Supervisory Control and Data Acquisition (SCADA) system and Internet of Things (IoT) devices are needed. However, given the vulnerabilities of communication lines, effective detection of cyber-intrusions is important for reliable operation of power grids. Conventional detection techniques use neural network-based approaches that cannot classify attacks effectively. To overcome this drawback, a novel Long Short-Term Memory (LSTM)-Extreme Gradient Boosting (Xgboost) method is proposed in this paper. Simulation results demonstrate that the proposed method is effective in detecting and classifying the Denial of Service (DoS) cyber-attack on the grid-connected smart PV inverter system. Also, the performance of the proposed method is better than that of the conventional LSTM model. © 2025 ieee.

关键词： Network intrusion

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Single Microphone Speech Denoising Using Wavelet Thresholding and RLS Algorithm

Single Microphone Speech Denoising Using Wavelet Thresholdin...

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2025 International conference on Electronics, Information, and Communication, ICEIC 2025

作者： Naderahmadian, Yashar Ghorshi, Seyed Panahi, Issa University of Guilan Department of Electrical and Computer Engineering Rasht Iran The University of Texas at Tyler Department of Electrical and Computer Engineering TylerTX United States Department of Electrical and Computer Engineering The University of Texas at Dallas RichardsonTX United States

ISBN: (纸本)9798331510756

This work demonstrates a practical and effective solution for speech denoising with reduced hardware requirements. This paper proposes a novel speech denoising method that combines wavelet denoising with Recursive Least Squares (RLS) filtering, requiring only one microphone. The traditional RLS algorithm relies on two microphones to suppress noise: one for noisy speech and another for noise samples. Our approach improves upon this by using wavelet denoising to provide an initial noise estimate, which is then refined using RLS filtering. We evaluate the denoising performance of the proposed method against the traditional RLS algorithm and standalone wavelet denoising, using Mean Squared Error (MSE) and Perceptual Evaluation of Speech Quality (PESQ) as the performance metrics. The evaluation, conducted on speech samples from the TIMIT voice corpus under various noise conditions and signal-to-noise ratios, shows that our method consistently outperforms the traditional RLS and wavelet-only approaches. Spectrogram analyses further confirm the superiority of our method in noise suppression while preserving the integrity of the original signal. © 2025 ieee.

关键词： Adaptive filtering

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A Signature-Based Approach to Pinpoint Causes for Poor Performance of Real Time Distribution Power Flow

A Signature-Based Approach to Pinpoint Causes for Poor Perfo...

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2025 ieee Texas Power and Energy conference, TPEC 2025

作者： Crawford, Ken Cakir, Gokhan Baran, Mesut Cecchi, Valentina Chowdhury, Badrul Adeosun, Oluwatimilehin Thomas, Mariann Chacko, Cara DeCoste Tynan, Jordan NC State University Department of Electrical and Computer Engineering RaleighNC27606 United States University of North Carolina Charlotte Department of Electrical and Computer Engineering CharlotteNC28223 United States Duke Energy CharlotteNC28202 United States

ISBN: (纸本)9798331541125

In modern distribution systems, accurate real-time monitoring is critical for reliable operation and control. A common method used in practice is a power flow-based state estimation called near real-time power flow (RTPF). Limited real-time data makes it challenging to determine the cause when the RTPF provides poor results on a consistent basis with a large mismatch between measured and estimated node voltages. This paper focuses on this issue of poor RTPF performance and proposes a signature-based analysis method to identify the cause for the poor performance. The proposed method first identifies possible causes for the poor performance then utilizes residual spread analysis to identify signatures in the residual between measurements and the respective estimated values. Given a certain signature, a specific cause for the large mismatch in voltages is suspected and can be verified by simulating a corrected model. A sample study using a set of cases from a real system is given to illustrate the effectiveness of the proposed method. © 2025 ieee.

关键词： DC distribution systems

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Architecture of AC-DC Energy Nodes in Supergrids: A Technical Foundation for Future Renewable Integration 5

Architecture of AC-DC Energy Nodes in Supergrids: A Technica...

引用

5th National and the 1st International conference on Applied Research in electrical engineering, AREE 2025

作者： Mousavi, Mohammad Hossein Moradi, Hassan Rouzbehi, Kumars Razi University Department of Computer and Electrical Engineering Kermanshah Iran University of Seville Department of System Engineering and Automatic Control Seville Spain

ISBN: (纸本)9798350377170

The AC-DC Energy Nodes (ADENs) concept offers a transformative approach to modernizing power grids, particularly in the context of supergrids. By centralizing power flows from diverse renewable energy sources, such as offshore wind farms, ADENs enable efficient long-distance power transmission through HVDC technology. This design enhances the balance of supply and demand across regions and countries, significantly improving grid stability and resilience. However, the implementation of ADENs presents substantial technical, regulatory, and cybersecurity challenges. This study delves into these challenges while also addressing the geopolitical complexities of transnational connections, underscoring the critical importance of policy alignment for successful deployment. © 2025 ieee.

关键词： Wind power integration

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A Novel Optimized Li-ion Battery Charging Protocol for EV Onboard Chargers 16

A Novel Optimized Li-ion Battery Charging Protocol for EV On...

引用

16th Annual Power Electronics, Drive Systems, and Technologies conference, PEDSTC 2025

作者： Gholipour, Mohammad Reza Saradarzadeh, Mehdi Asadi, Ehsan Farhangi, Shahrokh College of Engineering University of Tehran School of Electrical and Computer Engineering Tehran Iran Jundi-Shapur University of Technology Faculty of Electrical and Computer Engineering Dezful Iran

ISBN: (纸本)9798331533946

An optimal charging profile for Li-ion batteries is proposed in this paper. The objective of the charging process is to minimize the charging time of a Li-ion battery while concurrently minimizing its energy losses. To address this challenge, a multi-objective evolutionary optimization algorithm, SPEA2, is employed. For this purpose, the extraction of electrical parameters for the equivalent circuit model of the Li-ion battery is addressed. Thereafter, the polarization voltages of the Li-ion battery are utilized as a key criterion in the SPEA2 optimization algorithm. Additionally, a power loss analysis of the onboard charger converter is conducted, and simulation results are presented to validate the theoretical analysis. The results demonstrate that the proposed charging method has reduced the charging time by 16.17% and the power losses of the charger system by 6.08% compared to the Constant Current-Constant Voltage (CC-CV) charging profile. © 2025 ieee.

关键词： Charging stations

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Invoking an Efficient Deep Learning Approach for Real-Time Detection of False Data Injection Attacks

Invoking an Efficient Deep Learning Approach for Real-Time D...

引用

2025 ieee Texas Power and Energy conference, TPEC 2025

作者： Eddin, Maymouna Ez Massaoudi, Mohamed Abu-Rub, Haitham Shadmand, Mohammad Abdallah, Mohamed Bcgovic, Miroslav Ghrayeb, Ali Texas A&M University at Qatar Department of Electrical and Computer Engineering Doha Qatar Texas A&M University Department of Electrical and Computer Engineering College Station United States Hamad Bin Khalifa University Information and Computing Technology Division Doha Qatar University of Illinois at Chicago Department of Electrical and Computer Engineering Chicago United States

ISBN: (纸本)9798331541125

With the increasing complexity of power systems and their vulnerability to cyber-attacks, robust detection mechanisms are crucial for ensuring the grid's transient and steady-state stability and resiliency. This study introduces an efficient deep learning framework to detect false data injection attacks (FDIAs) in power systems. Leveraging the MATPOWER environment, we simulate a realistic power grid scenario to generate datasets comprising normal operations and various FDIA scenarios. Utilizing advanced deep learning techniques, including convolutional neural networks enhanced with channel attention mechanisms and transformer encoders, our model processes sequential power system data to discern subtle attack signatures from normal fluctuations. The proposed methodology employs a stratified k-fold cross-validation approach on resampled datasets to address class imbalance, ensuring robust model evaluation. The model's performance is meticulously assessed using accuracy metrics and confusion matrices, demonstrating its capability to effectively identify and differentiate between normal and compromised states in power systems. Results on the ieee 39-bus and 300-bus systems highlight that this approach significantly enhances detection capabilities, achieving high accuracy and practical detection times of less than 2 milliseconds for the ieee 39-bus system, which addresses the real-time requirements. These promising results suggest that such models can be pivotal for preemptive security measures and real-time monitoring of power grids. © 2025 ieee.

关键词： Convolutional neural networks

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QRAG: Using Learnable Graph Queries for Retrieval Augmented Generation 15

QRAG: Using Learnable Graph Queries for Retrieval Augmented ...

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15th ieee Annual Computing and Communication Workshop and conference, CCWC 2025

作者： Barghi, Alexandria University of Maryland Department of Electrical & Computer Engineering College ParkMD20742 United States

ISBN: (纸本)9798331507695

Retrieval-augmented generation (RAG) is a critical feature of most LLM pipelines, ensuring the model produces precise, up-to-date, and hallucination-free results. However, traditional RAG, which is based on vector similarity, often fails to capture the whole context needed to respond to a user's prompt. This is especially true in 'multi-hop' prompts, where the information needed is in at least one other document that does not match the prompt embedding. Graph-based RAG provides a solution to this problem, but is hindered by the current graph processing ecosystem, and can be complicated to implement. As a response, we introduce QRAG, built on the BitGraph framework, which delivers a scalable, tunable solution for graph-based RAG. QRAG also introduces support for prize-aware graph traversals, which enable faster and more accurate subgraph extraction, possibly eliminating the need for further subgraph refinement. © 2025 ieee.

关键词： Graph embeddings

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Understanding Cybercrime: A Study of Malware Analysis, Phishing Attacks, and Sentiment Trends 3

Understanding Cybercrime: A Study of Malware Analysis, Phish...

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3rd International conference on Intelligent and Innovative Technologies in Computing, electrical and Electronics, IITCEE 2025

作者： Kumaran, U. Sreeraag, G. Narendran, Advik Meena, V.P. Gupta, Sushil Kumar Appaji, Abhishek Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bangalore India National Institute of Technology Department of Electrical Engineering Jharkhand Jamshedpur831014 India Bms College of Engineering Department of Medical Electronics Engineering Bangalore India

ISBN: (纸本)9798331515911

With the rapid evolution of computer systems and technologies, individuals face an increasing threat of cybercrime. This research explores the changing landscape of cybercrime by focusing on three key areas: malware analysis, phishing attack analysis, and sentiment analysis. The study aims to identify malware strategies for evading detection and analyze the prevalence of spyware by examining diverse malware samples. Additionally, trend analysis highlights the rising complexity and frequency of phishing attacks, with a notable shift toward targeting reputable platforms. Sentiment analysis of media headlines surrounding data breaches uncovers a paradox: while concerns about cybersecurity remain, there is a growing confidence in the ability to manage cybersecurity crises. These findings provide insights into emerging threats and evolving public perceptions, offering a comprehensive understanding of the current cyber- crime landscape. © 2025 ieee.

关键词： Phishing

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A Review of Grid-Connected Inverters and Control Methods Under Unbalanced Grid Conditions 16

A Review of Grid-Connected Inverters and Control Methods Und...

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16th Annual Power Electronics, Drive Systems, and Technologies conference, PEDSTC 2025

作者： Marangalu, Milad Ghavipanjeh Rehman, Fazal Ur Kurkdjian, Naser Vosoughi Computer Queen's University Dep. Of Electrical and Computer Engineering KingstonON Canada University of L'Aquila Dep. Information Engineering Computer Science and Mathematics L'Aquila Italy San Diego State University Faculty of Electrical and Computer Engineering San DiegoCA92182-0001 United States

ISBN: (纸本)9798331533946

Grid-connected inverters play a pivotal role in integrating renewable energy sources into modern power systems. However, the presence of unbalanced grid conditions poses significant challenges to the stable operation of these inverters. This review paper provides a comprehensive overview of grid-connected inverters and control methods tailored to address unbalanced grid conditions. Beginning with an introduction to the fundamentals of grid-connected inverters, the paper elucidates the impact of unbalanced grid voltages on their performance. Various control strategies, including voltage and current control methods, are examined in detail, highlighting their strengths and limitations in mitigating the effects of grid imbalance. Lastly, the review identifies emerging trends and future research directions in the field, emphasizing the need for innovative solutions to address the evolving challenges posed by unbalanced grid conditions in the context of renewable energy integration. © 2025 ieee.

关键词： control strategy fault conditions grid-connected inverters Photovoltaic systems

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