Design of CCM boost converter using fractional-order PID and neural-network techniques for power factor correction by Wanci Liu, Yapeng Liu, Aibing Wang

“…Abstract The most important factors that guarantee good operation are power quality (PQ) criteria such as the following: power factor (PF), total harmonic distortion (THD), and proper output regulation. …”
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A Low-Frequency Oscillation Identification Method for Power System Based on Adaptive Generalized S-Transform with Bat Algorithm by Miao Yu, Jingjing Wei, Shuoshuo Tian, Jianqun Sun, Yixiao Wu, Shouzhi Zhang, Jingxuan Hu

“…The superiority of the proposed method is verified, which can greatly improve the time-frequency resolution of PMU active power data signal and has effective noise immunity.…”
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Parametric optimization of the slot waveguide characteristics using a machine-learning approach by Yadvendra Singh, Suraj Jena, Harish Subbaraman

“…Abstract Slot waveguides provide high electric field amplitude and optical power in low-index materials that are not possible with conventional waveguides. …”
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Waiting Time Distribution of Supra-arcade Downflows by Zichao Yang, Rui Liu

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Optimal Flood Discharge Scheduling to Alleviate Vibration Under Gate Operational Rules by Zetai Yang, Suzhen Feng, Kaixiang Fu, Jinwen Wang

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Performance and energy optimization of ternary optical computers based on tandem queuing system by Heqiang Zhang, Meng Liu, Weiwen Liu, Wenqiang Shi, Shuang Li, Jie Zhang, Xianchao Wang

“…It proposes an optimization strategy to achieve bi-objective optimization of performance and energy consumption for TOC by identifying the optimal partitioning strategy and the number of active small optical processors for different load conditions.…”
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Characteristics Evaluation and Coordinated Control Strategy of Power-Electronics-Based MMC-HVDC Systems Connected with Wind Farms by Lin Xu, Chang Liu, Jingyi Zhang, Zhen Tian, Pan Feng, Meng Huang

“…Modular multilevel converter–high-voltage direct current (MMC-HVDC) systems are a key technology for integrating large-scale offshore wind farms due to their flexibility, controllability, and decoupled active and reactive power characteristics. However, offshore wind farms rely on power electronic converters, resulting in low inertia, which can worsen frequency fluctuations and affect system stability during major disturbances. …”
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Harnessing Nanoplasmonics: Design Optimization for Enhanced Optoelectronic Performance in Nanocrystalline Silicon Devices by Mohsen Mahmoudysepehr, Siva Sivoththaman

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Two-Timescale Coordination of Discretely and Continuously Adjustable Devices in ADNs With DRL and Physical Convex Optimization by Jian Zhang, Yigang He

“…Whereas, on fast timescale (e.g., several seconds or minutes), the optimal reactive power of DGs inverters and static VAR compensators (SVCs) in balanced and unbalanced ADNs are set with physical convex optimization to minimize network losses while respecting physical constraints. …”
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A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework by Tingting Xiao, Yonggang Peng, Chunyu Chen

“…Specifically, a dynamic charging price mechanism based on active power margin is proposed for public charging facilities and a specific load regulation is designed for private charging facilities. …”
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Research on economic dispatching strategy for active distribution network considering high penetration of renewable energy source by ZHANG Yu, YUAN Bo, HUANG Shicheng, SHI Jinyue, AN Yichen

“…With the increasing penetration of renewable energy sources in the active power distribution network, their inherent randomness and intermittency pose significant challenges to existing scheduling strategies. …”
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Optimal scheduling of electrical energy in smart buildings based on peer-to-peer transactions by ZHENG Ying, HUANG Hui, QI Qifeng, ZHANG Youbing, MAO Cui, ZHU Kaixiang, FENG Changsen

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Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges by Ons Aouedi, Alessio Sacco, Latif U. Khan, Dinh C. Nguyen, Mohsen Guizani

“…Human Activity Recognition (HAR) has seen remarkable advances in recent years, driven by the widespread use of wearable devices and the increasing demand for personalized healthcare and activity tracking. …”
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Low-Frequency Performance Analysis of Semi-Active Cab’s Hydraulic Mounts of an Off-Road Vibratory Roller by Vanliem Nguyen, Jianrun Zhang, Xiuzhi Yang

“…Contrastive analysis of low-frequency vibration characteristics of the off-road vibratory roller with passive cab’s hydraulic mounts, semi-active cab’s hydraulic mounts without optimization, and semi-active cab’s hydraulic mounts with optimization is, respectively, carried out. …”
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Effects of Climate Change and Human Activities on the Flow of the Muling River by Xiang Meng, Chang-Lei Dai, Yi-Ding Zhang, Geng-Wei Liu, Xiao Yang, Xue Feng

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Relationship between Lower Limb Flexibility, Power, Agility and Speed in Football Players: A Cross-sectional Study by Tresha Parmar, Neha Mukkamala

“…In football, the ability to quickly change direction, produce a high rate of power output, and sprint at high velocity is essential for optimal performance. …”
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Decentralized Voltage and Var Control of Active Distribution Network Based on Parameter-Sharing Deep Reinforcement Learning by Binqiao Zhang, Changlin He

“…The results from IEEE 33-node simulations show that the approach reduces voltage fluctuations and lowers power loss better than other methods. The findings indicate that parameter-sharing helps agents work together, so large-scale Active Distribution Networks can use decentralized voltage control more efficiently. …”
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Enzymic hydrolysis of chickpea protein by Alcalase and its antioxidative activities by LI Yan-hong, JIANG Bo, LIU Zhu, ZHANG Tao, MU Wan-meng

“…The optimal conditions for enzymatic hydrolysis of chickpea protein, the antioxidative activity, free radical scavenging activities and molecular weight distribution of the chickpea protein hydrolysates were studied. …”
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Context-dependent PSIICOS: A novel framework for functional connectivity estimation accounting for task-related power leakage by Daria Kleeva, Alexei Ossadtchi

“…Functional connectivity (FC) analysis using non-invasive neuroimaging methods, such as MEG and EEG, is often confounded by artifacts from spatial leakage and task-related power modulations. To address these limitations, we present Context-Dependent PSIICOS (CD-PSIICOS), a novel framework that improves the estimation of FC by incorporating task-specific cortical power distributions into the projection operator applied to the vectorized sensor-space cross-spectrum. …”
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Optimization of a Process for a Microgreen and Fruit Based Ready to Serve Beverage by Anjali Sharma, Prasad Rasane, Anirban Dey, Jyoti Singh, Sawinder Kaur, Kajal Dhawan, Ashwani Kumar, Hari Shankar Joshi

“…The blended juice in different ratios was analysed for total soluble solids, viscosity, sedimentation, acidity, metal chelation activity, free radical scavenging activity and reducing power. …”
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