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Bi-Level Intrusion Detection in IoT Networks Using Ensemble Method and A-GRU-RNN Classifier 使用集合方法和 A-GRU-RNN 分类器在物联网网络中进行双层入侵检测
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-11 DOI: 10.1080/15325008.2023.2285940
Geo Francis E., Sheeja S.
For minimizing security vulnerabilities and attacks, which affect Internet of Things (IoT) applications’ performance, it is essential to design an efficient authentication protocol owing to the rap...
为了最大限度地减少影响物联网(IoT)应用性能的安全漏洞和攻击,必须设计一种高效的身份验证协议。
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引用次数: 0
Electric Vehicle Charging Infrastructure, Standards, Types, and Its Impact on Grid: A Review 电动汽车充电基础设施、标准、类型及其对电网的影响:综述
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-10 DOI: 10.1080/15325008.2024.2315206
P. Bhosale, Sujil A, Rajesh Kumar, R. C. Bansal
The growth of EV penetration brings numerous benefits in economic and environmental aspects, but it also presents deployment opportunities and challenges of EV charging stations. The EV owners bene...
电动汽车普及率的增长带来了经济和环境方面的诸多好处,但也给电动汽车充电站的部署带来了机遇和挑战。电动汽车车主可以从充电站中受益。
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引用次数: 0
DeepFore: A Deep Reinforcement Learning Approach for Power Forecasting in Renewable Energy Systems DeepFore:用于可再生能源系统功率预测的深度强化学习方法
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-09 DOI: 10.1080/15325008.2024.2332391
Jayarama Pradeep, S. Raja Ratna, P. K. Dhal, K. V. Daya Sagar, P. S. Ranjit, Ravi Rastogi, Vigneshwaran K, A. Rajaram
An open network known as the “energy internet” links every component of the whole energy supply chains, from the generations. Due to their ability to mimic regional flow dynamics that have an impac...
被称为 "能源互联网 "的开放式网络将整个能源供应链的每一个组成部分都联系在一起,代代相传。由于它们能够模拟区域流动动态,从而对能源供应产生影响,因此被称为 "能源互联网"。
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引用次数: 0
Using Fractional-order Technique and Non-linear Surface to Improve the Performance of the Backstepping Control of Multi-rotor Wind Power Systems 利用分数阶技术和非线性表面改善多转子风力发电系统的反向控制性能
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-09 DOI: 10.1080/15325008.2024.2332401
Habib Benbouhenni, Adil Yahdou, Ilhami Colak, Nicu Bizon
In this study, an effective solution is given to overcome the drawbacks of backstepping command (BC) for a doubly-fed induction generator based on multi-rotor wind power system, where both fraction...
本研究给出了一种有效的解决方案,以克服基于多旋翼风力发电系统的双馈感应发电机反步进指令(BC)的缺点。
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引用次数: 0
Jellyfish Search Optimized Gated Recurrent Unit Based FOPID/PID for Enhanced Automatic Voltage Regulator 基于水母搜索优化门控循环单元的 FOPID/PID 用于增强型自动电压调节器
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-08 DOI: 10.1080/15325008.2024.2322004
Vani E., Ilambirai R. C., Ganga M., Jasmine Gnanamalar
The most essential mechanism for regulation in power systems is the Automatic Voltage Regulator (AVR) device, which maintains generator terminal voltage within predefined parameters. This research ...
电力系统中最基本的调节机制是自动电压调节器(AVR)装置,它能将发电机端电压保持在预定参数范围内。这项研究 ...
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引用次数: 0
Design and Implementation of GaN-Based Two Switch Flyback With Synchronous Rectification for New Space Applications 为新空间应用设计和实现基于氮化镓的同步整流双开关反激式系统
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-08 DOI: 10.1080/15325008.2024.2336052
Ulku Miray Gundogdu, Bulent Dag
This article presents a comprehensive investigation and implementation of a continuous conduction mode pulse width modulated two-switch DC/DC flyback converter utilizing Gallium Nitride Field Effec...
本文介绍了一种连续导通模式脉宽调制双开关 DC/DC 反激式转换器的综合研究与实现方法,该转换器采用了氮化镓场效应晶体管(GNSS)。
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引用次数: 0
Harmonic Elimination Using Grid Integrated Hybrid Renewable Energy System with Optimized Control for Nano Scale Based 31-Level MLI 利用电网集成式混合可再生能源系统消除谐波,优化基于纳米级的 31 级多层互联电网的控制
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-04 DOI: 10.1080/15325008.2024.2331003
T. Bharani Prakash, R. Sankar Ganesh
This research focuses integration of grid integrated hybrid renewable energy system (HRES) with optimized control techniques for harmonic elimination using Nano Scale Based 31-Level Multi-Level Inv...
这项研究的重点是利用基于纳米尺度的 31 级多级调控技术,将电网集成的混合可再生能源系统(HRES)与消除谐波的优化控制技术集成在一起。
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引用次数: 0
Enhancing Electrical Power Demand Prediction Using LSTM-Based Deep Learning Models for Local Energy Communities 利用基于 LSTM 的深度学习模型加强当地能源社区的电力需求预测
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-04 DOI: 10.1080/15325008.2024.2316246
M. Pushpavalli, D. Dhanya, Megha Kulkarni, R. Rajitha Jasmine, B. Umarani, M. RamprasadReddy, Durga Prasad Garapati, Ajay Singh Yadav, A. Rajaram
The pursuit of accurate electrical power demand forecasting has led to the application of deep learning algorithms, notably demonstrating promising outcomes despite the prerequisite of substantial ...
在追求准确的电力需求预测的过程中,深度学习算法得到了应用,尽管其前提条件是大量的...
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引用次数: 0
Distributed Generation and Demand Response Coordination for Optimal Operation of Microgrid Using Modified Elephant Herd Optimization 利用 "修正象群优化 "协调分布式发电和需求响应,优化微电网运行
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-04 DOI: 10.1080/15325008.2024.2330989
Jayesh Priolkar, Sreeraj E. S.
The optimal operation and coordination of distributed generation (DG) sources and demand response (DR) programs help to minimize the operating cost of microgrids along with other mutual benefits. T...
分布式发电(DG)源和需求响应(DR)计划的优化运行与协调有助于最大限度地降低微电网的运行成本,同时还能带来其他共同利益。T...
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引用次数: 0
Post Facto Calculation of Peer to Peer Transactions: Proportional and Preferential Energy Sharing Models 点对点交易的事后计算:比例和优先能量共享模式
IF 1.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2024-04-03 DOI: 10.1080/15325008.2024.2329331
Vikram Cherala, Charan Teja S, Pradeep Kumar Yemula
Global rooftop solar grows at a rate of 20.14% annually, according to global solar consortium energypedia. Conventionally prosumers sell excess solar generated to the utility grid using a feed-in-t...
根据全球太阳能联盟 energypedia 的数据,全球屋顶太阳能的年增长率为 20.14%。传统上,太阳能发电商通过上网电价将多余的太阳能发电量卖给公用电网...
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引用次数: 0
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Electric Power Components and Systems
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