A binary gridding path-planning method for plant-protecting UAVs on irregular fields by Wang-ying XU, Xiao-bing YU, Xin-yu XUE

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3D Reconstruction of Power Grid Facilities Based on Keyframe Extraction and Image Recognition by Zhiyong CHEN, Jinglin HAN, Yang LIU, Guangyi LI, Yu JIANG, Ruitian CAI

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Method for constructing occupancy grid maps based on navigation radar echo video data by Kunyi JIANG, Shiping SUN, Bingdong JIANG, Qing CAI

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Investment Decision Model of Rural Power Grid Projects Considering Contribution of Rural Revitalization by Huiru ZHAO, Manyu YAO, Bingkang LI, Guanglong XIE, Zhihua DING, Zhenda HU

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Conversion of XYZ Tile Data into Grid Square Data and Their Application to Tsunami Risk Assessment by Kosuke Nakata, Aki-Hiro Sato

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Dynamic Control and Analysis of Dual Active Bridge Converters in Grid-Connected PV-BESS by Mehmet Can Sekanli, Samet Yalçin, Okan Bingol

“…Integrating photovoltaic (PV) arrays with battery energy storage systems (BESS) addresses the intermittent nature of solar energy effectively. This research focuses on simulating and analyzing a grid-connected PV-BESS configuration, incorporating a Dual Active Bridge (DAB) converter. …”
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Bayesian Optimized GridDehazeNet for Adaptive Haze Removal in Real-World Applications by Sungkwan Youm

“…Haze removal is essential for improving image visibility in applications like autonomous vehicles and surveillance. While models like GridDehazeNet enhance dehazing performance, our research emphasizes that selecting appropriate image data and application methods is even more crucial. …”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

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Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF by Jing XU, Shuya TIAN, Tiejun ZHAO, Xiaogang GAO, Ju YE, Lingyan BU, Wenmiao LIU

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A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…To make the distribution grid observable, researchers resort to pseudomeasurements, which are inaccurate. …”
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LLM-Enhanced Framework for Building Domain-Specific Lexicon for Urban Power Grid Design by Yan Xu, Tao Wang, Yang Yuan, Ziyue Huang, Xi Chen, Bo Zhang, Xiaorong Zhang, Zehua Wang

“…The average cosine similarity of synonym pairs reached 0.86, and expert validation confirmed an accuracy rate of 89.3%; text classification experiments showed that integrating the domain-specific dictionary improved the classifier’s F1-score by 9.2%, demonstrating the effectiveness of the method. This research innovatively constructs a high-precision terminology dictionary in the field of power design for the first time through embedding domain-driven constraints and validation workflows, solving the problems of insufficient coverage and imprecise expansion of traditional methods, and supporting the development of semantically intelligent systems for smart urban power grid design, with significant practical application value.…”
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Distributed Authentication of Power Grid Safety and Stability Control Terminals Based on DHT and Blockchain by Yening LAI, Ke FENG, Tongwei YU, Wang WANG, Guanjun TANG

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Adaptation of Digital Perception Service and Communication Technologies for Local Communication Network of Urban Grid by Cheng ZHONG, Di ZHAI, Yang LU, Jingyi FAN, Xiaobo LIU, Xinyue ZHANG, Xiongwen ZHAO

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Adaptive Control and Market Integration: Optimizing Distributed Power Resources for a Sustainable Grid by Josue N. Otshwe, Bin Li, Songsong Chen, Feixiang Gong, Bing Qi, Ngouokoua J. Chabrol

“…System performance is improved using advanced control strategies together with real-time market-responsive changes and predictive algorithms. The efficacy of the proposed methodology is validated through a detailed simulation of a small island grid using mixed-integer linear programming (MILP) and particle swarm optimization (PSO), which demonstrates significant operational improvements. …”
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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

“…This study systematically reviews new challenges and research trends in the field of smart grid optimization, focusing on key issues such as power flow optimization, load scheduling, and reactive power compensation. …”
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Optimization of Transformation Coefficients Using Direct Search and Swarm Intelligence by Manusov V.Z., Matrenin P.V., Orlov D.V.

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A Dual Grid Collaborative Navigation Method and Computer Simulation Based on Data Link by Li Yongfeng, Hao Xiuqiang, Wu Zhenguo, Wu Gang, Guo Chubing

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Comprehensive Review of Vehicle-to-Grid Technology Effect on Frequency Stability in Electric Power Systems by Citra Dewi, Adrianti Adrianti, Muhammad Nasir

“…These findings reaffirm that V2G has tremendous potential in the electric grid yet, it must be noted that solving these issues remains critical through transformational research and policy strategy. …”
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Security defense technology of power grid dispatching automation system based on hierarchical protection by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…Future research should focus on integrating real-world smart grid data for validation, developing adaptive learning mechanisms, exploring other bio-inspired optimization algorithms, and addressing real-time processing and scalability challenges in large-scale deployments.…”
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