Towards Efficiency and Endurance: Energy–Aerodynamic Co-Optimization for Solar-Powered Micro Air Vehicles by Weicheng Di, Xin Dong, Zixing Wei, Haoji Liu, Zhan Tu, Daochun Li, Jinwu Xiang

“…In addition to that, the aerodynamic performance is evaluated through computational fluid dynamics (CFD) simulations based on the Reynolds-Averaged Navier–Stokes (RANS) method. A multi-objective optimization approach simultaneously considers photovoltaic energy generation and aerodynamic efficiency. …”
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Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

“…A novel RFID–vision fusion positioning system, leveraging multi-source data to mitigate signal interference in underground environments, provides real-time, reliable spatiotemporal coordinates for the scheduling model. …”
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Optimization of a Nuclear–CSP Hybrid Energy System Through Multi-Objective Evolutionary Algorithms by Chenxiao Ji, Xueying Nie, Shichao Chen, Maosong Cheng, Zhimin Dai

“…The criteria importance through inter-criteria correlation (CRITIC) method and the technique for order preference by similarity to ideal solution (TOPSIS) are utilized to derive the optimal compromise solution. …”
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Management of large energy storage power plants: optimization of charging and discharging with cuckoo search algorithm by Behnam Motalebinejad, Majid Hosseina, Mojtaba Vahedi, Mahmoud Samiei Moghaddam

“…Furthermore, the use of the advanced Fakete search algorithm is employed as a powerful and efficient method for solving the proposed model. This algorithm has the capability to find global optimal solutions and can significantly improve the efficiency and profitability of large-scale energy storage facilities. …”
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An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

“…Fault diagnosis of transformers based on a clustering algorithm primarily utilizes the proportional data of dissolved gases as features, which have not considered abundant gas ratio features, and those clustering methods are prone to invalid clustering. In order to solve those problems, this paper uses more features as information sources of power transformer diagnosis based on clustering method. …”
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A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources by M. Wajahat Hassan, Thamer Alquthami, Ahmad H. Milyani, Ashfaq Ahmad, Muhammad Babar Rasheed

“…However, recent studies based on the uncertainty and worst-case scenario-oriented robust optimization methodology reveal the perplexities associated with renewable energy sources (RES). …”
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Integrating AI and Multi-objective Optimization for Enhanced Microgrid Energy Management Using Quadratic Programming by Agrawal Priyanka, Thethi H. Pal, Mohammad Q., Gupta Navya, Asha V., Reddy K. Jyothsna

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Advanced Genetic Algorithms for Optimal Battery Siting: A Practical Methodology for Distribution System Operators by Edward Alejandro Ortiz, Josimar Tello-Maita, David Celeita, Agustin Marulanda Guerra

“…The growing integration of renewable energy sources and the electrification of multiple sectors have heightened the need for optimized planning and operation of modern electrical distribution systems. …”
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Delay margin analysis of FOTID controller for RES based EV system using MMGPE optimization by Adhit Roy, Susanta Dutta, Soumen Biswas, Anagha Bhattacharya, Sajjan Kumar, Soham Dutta, Provas Kumar Roy

“…The suggested algorithm has produced better results, which has been confirmed by statistical methods like one-way ANOVA (analysis of variance).…”
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Preparation and photoelectric properties of Si:B nanowires with thermal evaporation method. by Yang Feng, Ping Liang, Ziwen Xia, Weiye Yang, Hongyan Peng, Shihua Zhao

“…We have successfully prepared a significant number of nanowires from non-toxic silicon sources. Compared to the SiO silicon source used in most other articles, our preparation method is much safer. …”
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Data Siting and Capacity Optimization of Photovoltaic–Storage–Charging Stations Considering Spatiotemporal Charging Demand by Dandan Hu, Doudou Yang, Zhi-Wei Liu

“…To validate the model, we leverage large-scale GPS trajectory data from electric taxis in Shenzhen as a data-driven source of spatiotemporal charging demand. The research results indicate that the spatiotemporal distribution characteristics of different charging demands determine whether a charging station can become a PSCS and the optimal capacity of PV and battery within the station, rather than a fixed configuration. …”
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Optimized removal of trivalent arsenic from aquatic environments using Prosopis juliflora seed biomass by M. Samimi, J. Nouri

“…BACKGROUND AND OBJECTIVES: With urban populations struggling with wastewater and water sources contaminated by metalloids, the demand for sustainable and effective methods for removing heavy metals is growing ever more urgent. …”
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Georgian Territories in the System of State Administration of the Russian Empire, 1801–1812: the Search for an Optimal Model by A. T. Urushadze

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Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidir... by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

“…Text summarization has become a prominent and effective method towards glean important information from numerous documents. …”
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Optimizing Arm Muscle Endurance in Pencak Silat Athletes: Insights from a Literature Review by Jefrio Demitrimus Nubatonis, Sulistiyono Sulistiyono, Muhamad Husein, Irvan Septianto, Salmon Runesi, Dwi Manna Nazmi Zakiah, Julian Dewantara, Jihan Azrina, Syahrizal Islam, Vince Louisse D. Salacup

“…This study aims to explore and analyze proven strategies and methods to optimize arm muscular endurance in Pencak Silat athletes. …”
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Comparative analysis of brushless DC and switched reluctance motors for optimizing off-grid water pumping by Avinash Kumar, Sanjay Marwaha, Manpreet Singh Manna, Anupma Marwaha, Rajat Kumar, Mohammad Amir, Mohit Bajaj, Ievgen Zaitsev

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Optimized Mask-RCNN model for particle chain segmentation based on improved online ferrograph sensor by Shuo Wang, Miao Wan, Tonghai Wu, Zichen Bai, Kunpeng Wang

“…To address this issue, an integrated optimization method is developed that focuses on two aspects: the structural re-design of the online ferrograph sensor and the intelligent segmentation of particle chains. …”
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Design, synthesis, and optimization of a novel ternary photocatalyst for degradation of cephalexin antibiotic in aqueous solutions by Zeynab Abdeyazdan, Mohammad Rahmati, Arjomand Mehrabani-Zeinabad, Masoud Habibi Zare

“…This study, investigates the efficient removal of cephalexin (CPX) using Fe doped TiO2–Bi2O3 nanocomposite, synthesized via the simple sol–gel method as a visible active photocatalyst. The weight fraction of Fe (3–7 wt%), and Bi2O3 (7–11 wt%) was optimized. …”
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UAV Mission Computer Operation Mode Optimization Focusing on Computational Energy Efficiency and System Responsiveness by Oleksandr Liubimov, Ihor Turkin, Valeriy Cheranovskiy, Lina Volobuieva

“…The paper provides an experimental assessment of the ‘Boryviter 0.1’ computing platform, which is implemented on the ATSAMV71 microprocessor and operates under the open-source FreeRTOS operating system. The results are the basis for developing algorithms and energy-efficient design strategies for the mission computer to solve the optimization problem. …”
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A Review of Optimization Scheduling for Active Distribution Networks with High-Penetration Distributed Generation Access by Kewei Wang, Yonghong Huang, Yanbo Liu, Tao Huang, Shijia Zang

“…The high-proportion integration of renewable energy sources, represented by wind power and photovoltaics, into active distribution networks (ADNs) can effectively alleviate the pressure associated with advancing China’s dual-carbon goals. …”
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