Research on Day-Ahead Optimal Scheduling of Wind–PV–Thermal–Pumped Storage Based on the Improved Multi-Objective Jellyfish Search Algorithm by Yunfei Hu, Kefei Zhang, Sheng Liu, Zhong Wang

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A Distributed Bio-Inspired Method for Multisite Grid Mapping by I. De Falco, A. Della Cioppa, U. Scafuri, E. Tarantino

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Smart Grids Data Aggregation Method on Paillier Homomorphic Encryption by Shaodong Zhao

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Risk Limiting Based Resilient Operation Method for Power Grid by Xiyue WANG, Hao ZHANG, Chaoyi PENG

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Shape Optimization of 2D Elastic Structures Using Adaptne Grids by W. Gutkowski, J. Zawidzka

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A grid-based sectoring for energy-efficient wireless sensor networks by Nubunga Ishaya, Mustapha Aminu Bagiwa

“…However, its CH selection process remains suboptimal, leading to energy imbalance and inefficiencies due to fixed sector boundaries. This research improves CH selection by organizing sensor nodes into square grid clusters and employing a routing algorithm for randomized CH selection. …”
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Design of Computer Numerical Control System for Fiber Placement Machine Based on Siemens 840D sl by Kun Xia, Di Zhao, Qingqing Yuan, Jingxia Wang, Aodong Shen

“…To mitigate thermal-induced errors, a compensation method incorporating a BP neural network optimized by a genetic algorithm with an enhanced fitness function (GA-BP) was proposed. …”
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Sensor placement optimization for critical-grid coverage problem of indoor positioning by Hui Wu, Zhe Liu, Jin Hu, Weifeng Yin

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External archive guided radial-grid multi objective differential evolution by Vikas Palakonda, Samira Ghorbanpour, Jae-Mo Kang, Heechul Jung

“…Abstract Differential evolution (DE) is a robust evolutionary algorithm for solving single-objective and multi-objective optimization problems (MOPs). …”
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Optimized planning of electric vehicle charging infrastructure for grid performance improvement by Mohammad Reza Maghami, Ka Fei Thang, Arthur G. O. Mutambara, Ali Akbar Firoozi, Elnaz Yaghoubi, Mehdi Zareian Jahromi, Elaheh Yaghoubi

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Research on demodulation technology of fiber Bragg grating sensor based on generalized regression neural network by XIA Xiang, LI Xianliang, PAN Hua, YAN Dong, ZHANG Xiaofeng, ZHANG Yunhui

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Synergistic frameworks for sensor fault isolation and accommodation in grid-side converters by Faizan Mehmood, Lenos Hadjidemetriou, Panayiotis M. Papadopoulos, Marios M. Polycarpou

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Method of formation of numerical projection-grid algorithm on basis of «three-dimensional regular element» for calculation of 3D-models of magnetic field in cylindrical coordinate... by A. A. Tatevosyan, E. G. Andreeva

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Research on Charging-Discharging Control Strategy of Electric Vehicles Considering Wind Power Consumption in Ubiquitous Power Internet of Things by Xiaobo CHEN, Xiuyuan YANG

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Integrating sensor networks to facilitate efficient energy management for smart grids by Arpita Nath Baruah, Malatesh S. Akkur, Jyoti Seth, Jaymeel Shah

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Integrating solar and wind energy into the electricity grid for improved power accessibility by Collins N. Nwagu, Chika Oliver Ujah, Daramy V.V. Kallon, Victor S. Aigbodion

“…This research focuses on the examination of the environmental, technological, financial, and operational effects, and features of hybrid solar and wind systems for grid support. …”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

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Research on cross-provincial power trading strategy considering the medium and long-term trading plan by Sizhe Yan, Weiqing Wang, Xiaozhu Li, Hang He, Xin Zhao

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Research and Engineering Practice of Var-Voltage Control in Primary and Distribution Networks Considering the Reactive Power Regulation Capability of Distributed PV Systems by Haiyun Wang, Qian Chen, Linyu Zhang, Xiyu Yin, Zhijian Zhang, Huayue Wei, Xiaoyue Chen

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Artificial Intelligence-driven optimization of V2G and charging point selection en-route: A systematic literature review by Christoph Sommer, M.J. Hossain

“…For the industry, the primary advantage of this paper lies in its examination of existing profit maximization models and the consequent heightened interest from customers in this technology plus the strategic placement of charging stations. For academic researchers, this paper demonstrates that the prediction of charging behavoir can be effectively tackled through the appropriate selection of ML-algorithms.…”
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