Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

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Symbol timing recovery algorithm based on ordered statistic of maximum mean power timing for WBAN by HIYu C, HENLan C, VChao L

“…The symbol timing algorithm based on maximum mean power timing is independent of carrier phase offset,and has the property of capturing timing information fast,which meets the demand of wireless body area networks (WBAN).According to IEEE 802.15.6 standard,the ordered statistic of maximum mean power timing was used to reduce the computational complexity in the symbol timing process.The theoretical analysis and simulation results shows that the proposed algorithm can achieve symbol timing within 32 symbols and reduce the computational complexity by ninety percent at most compared to the original maximum mean power algorithm.The fast synchronization and car-rier-independence property of the proposed algorithm can also make room for carrier-offset recovery and frame synchro-nization.…”
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Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives by Selvarasu Ranganathan, S. Rajkumar

“…The selection of positions for unified power flow controller (UPFC) placement in transmission network is an essential factor, which aids in operating the system in a more reliable and secured manner. …”
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Design of Optimal Proportional Integral Derivative Based Power System Stabilizer Using Bat Algorithm by Dhanesh K. Sambariya, Rajendra Prasad

“…Three benchmark power system models as single-machine infinite-bus (SMIB) power system, two-area four-machine ten-bus power system, and IEEE New England ten-machine thirty-nine-bus power system are considered to examine the effectiveness of the designed controller. …”
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Reactive power optimization via deep transfer reinforcement learning for efficient adaptation to multiple scenarios by Congbo Bi, Di Liu, Lipeng Zhu, Chao Lu, Shiyang Li, Yingqi Tang

“…Finally, the proposed framework is tested on the IEEE 39-bus system and the realistic Guangdong provincial power grid, demonstrating its effectiveness and reliability.…”
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Bivariate Stochastic Optimization Model for Bidding Strategies Considering Competition Among Renewable Power Producers by Jifeng Cheng, Zheng Yan, Xiaoyuan Xu, Han Wang, Yan Zhang, Shuying Zhang

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Hybrid LSTM-PSO optimization techniques for enhancing wind power bidding efficiency in electricity markets by Viet Anh Truong, Ngoc Sang Dinh, Thanh Long Duong, Ngoc Thien Le, Cong Dinh Truong, Linh Tung Nguyen

“…Experiments conducted on the IEEE 30-bus power system show that the LSTM-PSO hybrid outperforms mathematical models and standalone PSO algorithms. …”
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Evaluation and improvement of power quality of distribution network: a case study of Covenant University, Ota by Isaac A. Samuel, Daudu Afah Toyin, Tobiloba E. Somefun, Tobiloba E. Somefun, Ayokunle A. Awelewa, Shehu Abba-Aliyu

“…The results were benchmarked against IEEE power quality standards and identified issues such as harmonics, total harmonic distortion (THD), overload, and a lagging power factor. …”
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Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves by Wenqian Yin, Kun Zhuang, Pei Kong, Pengcheng Fan, Jilei Ye, Yuping Wu, Xun Dou

“…., heat and cold waves, causes prolonged periods of low renewable production and increased load demand, threatening the power system energy balance. In this context, this paper proposes to quantify the energy imbalance in long-duration Hydrogen energy storage (HES)-assisted power systems under heat waves (HWs). …”
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Microwave Pioneers: Mau-Chung Frank Chang, “The Power of Connections” by Peter H. Siegel

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Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach by Hao Xiao, Wei Pei, Daoxin Han, Xiaowei Pu, Jiarui Wang

“…Abstract The integrated energy microgrid (IEM) has good potential for both active and reactive power regulation, which are gradually becoming critical resources for participating in power system ancillary services. …”
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Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems by Haina Rong, Kang Yi, Gexiang Zhang, Jianping Dong, Prithwineel Paul, Zhiwei Huang

“…Also, the feasibility of the FRSN P system is verified on the IEEE14, IEEE 39, and IEEE 118 node systems.…”
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Decentralized Frequency Regulation by Using Novel PID Sliding Mode Structure in Multi-Area Power Systems With Hydropower Turbines by Dao Trong Tran, Anh-Tuan Tran, van van Huynh, Ton Duc do

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EMT Model Validation Throughout the Life Cycle of Wind Power Plants Based on Type IV Turbines: Experiences and Recommendations by Gabriel Miguel Gomes Guerreiro, Ranjan Sharma, Pankaj Kumar, Sulav Ghimire, Frank Martin, Pramod Ghimire, Guangya Yang

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Smoothing Photovoltaic Power Fluctuations for Cascade Hydro-PV-Pumped Storage Generation System Based on a Fuzzy CEEMDAN by Lei Chen, Jun Wang, Zhang Sun, Tao Huang, Fan Wu

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Optimizing Subchannel Assignment and Power Allocation for Network Slicing in High-Density NOMA Networks: A Q-Learning Approach by Suhare Solaiman

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A Study of the Interaction Between Implanted Pacemakers and the Power-Frequency Field Produced by Traction Transformer in High-Speed EMU by Rui Tian, Yu-Long Zhang, Mai Lu, Jian-Fang Deng

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Ultra-Low Static Power Circuits Addressing the Fan-Out Problem of Analog Neuron Circuits in Spiking Neural Networks by Jonghyuk Park, Woo Young Choi

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Recent Advancements in Planning and Reliability Aspects of Large-Scale Deep Sea Offshore Wind Power Plants: A Review by Pawan Kumar, Santanu Paul, Akshay Kumar Saha, Omkar Yadav

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Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations. by Bachirou Bogno, Deli Goron, Nisso Nicodem, S Shanmugan, Dieudonné Kidmo Kaoga, Kitmo, Akhlaque Ahmad Khan, Yasser Fouad, Michel Aillerie

“…The proposed approach is based on the evaluation of the power losses and voltage profiles of the IEEE 33 bus and IEEE 69 bus standards This MATLAB-based method establishes an objective function that converges more quickly to the optimal results.…”
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