Optimization of Laser Cutting Parameters for Mild Steel using Regression Analysis and Differential Evolution Algorithm by Sayit Özbey, İsmet Tıkız, Aysen Şimşek Kandemir

“…Using the differential evolution optimization method, the minimum surface roughness was calculated as 0.442 µm. …”
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Optimizing Civics Learning in High School through the Use of Print Books and Online Learning Resources by Jessica Wijaya, Nuraini Asriati

“…The results of the study showed that teachers can optimally improve Civics learning in high school by integrating printed books and online learning resources by first understanding in depth the Civics curriculum in high school, then making lesson plans that combine printed books and online learning resources and Learning Management System (LMS), applying project-based learning methods, giving online assignments related to printed book materials, fostering students' digital literacy to find accurate and reliable learning sources, using multimedia such as learning videos from YouTube and implementing simulations. …”
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Optimal Configuration of Intelligent Soft Switches in Active Distribution Networks Based on Locational Marginal Price by QIU Cheng, ZHAO Wanjian, LI Xincong, ZHANG Mingze, FEI Fei, PENG Haohua, ZHOU Jianqiao, SHI Gang, ZHANG Jianwen

“…Due to the high configuration cost of SOPs, the problem of their siting and capacity setting becomes the core of the problem. In the paper, an optimal SOP configuration method based on locational marginal price (LMP) is proposed. …”
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Assessment of Different Detection Methods in Bacteria Survival on Cotton and Polyester Textiles by Katarzyna Jekiel, Justyna Syguła-Cholewińska

“…Fabrics have a close contact with human skin and therefore they are the great source of pathogens and cause cross-contamination. …”
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Low-carbon optimization scheduling of IES based on enhanced diffusion model for scenario deep generation by Danhao Wang, Daogang Peng, Dongmei Huang, Huirong Zhao, Bogang Qu

“…With the widespread integration of renewable energy sources into IES (Integrated Energy Systems), the uncertainties in renewable energy outputs and the volatility of user loads present new challenges for energy scheduling optimization. …”
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Weighted Particle Swarm Optimization Algorithms and Power Management Strategies for Grid Hybrid Energy Systems by Udayakumar Ramanathan, Sugumar Rajendran

“…This paper introduces the weighted particle swarm optimization (WPSO) method for controlling energy systems and grid hybrid energy systems that comprise photovoltaic (PV), wind turbine, batteries, and diesel generators. …”
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Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory by Peng Liu, Tieyan Zhang, Furui Tian, Yun Teng, Miaodong Yang

“…The weighted aggregated sum product assessment (WASPAS) method is then used to rank potential solutions. The hybrid scheduling alternative, combining distributed and centralized solutions, stands out as the best alternative, significantly improving resource optimization and system resilience. …”
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Co-Optimized Design of Islanded Hybrid Microgrids Using Synergistic AI Techniques: A Case Study for Remote Electrification by Ramia Ouederni, Innocent E. Davidson

“…The results obtained show that the best performance was obtained with the Grey Wolf Optimization algorithm. This method achieved a minimum energy cost of USD 0.268/kWh. …”
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A Multi-Objective PSO-GWO Approach for Smart Grid Reconfiguration with Renewable Energy and Electric Vehicles by Tung Linh Nguyen, Quynh Anh Nguyen

“…Comparative analyses further demonstrate that the hybrid method surpasses conventional optimization techniques, as evidenced by enhanced convergence rates and superior objective function outcomes. …”
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Optimizing Acidic Reductive Leaching for Lithium Recovery: Enhancing Sustainable Lithium Supply for Energy Markets by Agnieszka Sobianowska-Turek, Amelia Zielińska, Weronika Urbańska, Anna Mielniczek, Agnieszka Fornalczyk, Szymon Pawlak, Tomasz Małysa, Janusz Cebulski

“…The growing demand for lithium, driven by its crucial role in energy storage technologies such as lithium-ion batteries for electric vehicles, renewable energy storage, and portable electronics, is intensifying the need for sustainable extraction methods. While lithium is sourced from both primary and secondary resources, particularly from recycled materials, the recovery from spent lithium-ion batteries remains challenging. …”
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Research on an optimal scheduling strategy for a virtual power plant participating in primary frequency regulation by HUANG Canbing, XIONG Ni, WU Wei, LIU Shijian, ZHANG Qiao, YANG Xiyun

“…In response， this paper proposes an optimal scheduling strategy for the VPP using the improved multi-objective particle swarm optimization （MOPSO） and an integral power assessment method for primary frequency regulation. …”
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Application of decellularization methods for scaffold production: advantages, disadvantages, biosafety and modifications by O. I. Shevchuk, O. I. Shevchuk, V. V. Korcheva, N. S. Moskalenko, V. M. Kyryk, V. M. Kyryk, K. V. Kot, D. S. Krasnienkov

“…This review covers the application of some decellularization methods (physical, chemical) in scaffold production, highlighting their respective advantages, limitations, and biosafety considerations. …”
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A Novel Classification Method for Flutter Signals Based on the CNN and STFT by Shiqiang Duan, Hua Zheng, Junhao Liu

“…This novel flutter signal processing and classification method works by combining a convolutional neural network (CNN) with time-frequency analysis. …”
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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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Weld Bead Shape and Formation Prediction for Robotic MIG Welding Process Using Numerical Calculation by Ping Yao, Yunyi Huang, Riheng He, Junxi Huang, Meiyi Chen, Wenxiao Yu, Kang Zhou

“…To optimize the robotic MIG welding process for joining 316 L stainless steel sheets and to clearly understand the process, a new numerical model for a combined heat source, based on a Gaussian surface and Gaussian cylinder, was developed using ANSYS software. …”
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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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Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning by Wan-Peng Sun, Ji-Guo Zhang, Yichao Li, Wan-Ting Hou, Fu-Wen Zhang, Jing-Fei Zhang, Xin Zhang

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Optimal Configuration and Economic Study of Hybrid Energy Storage System in Wind and Solar Power Plants by Yongqian LIU, Chao LIANG, Jie YAN, Jing ZHANG

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Optimizing power grids: A valley-filling heuristic for energy-efficient electric vehicle charging. by Guilherme Gloriano de Souza, Ricardo Ribeiro Dos Santos, Ruben Barros Godoy

“…Among these strategies, the Valley-Filling approach has emerged as a promising method to optimize renewable energy utilization and alleviate grid stress. …”
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Optimal Distribution Planning of Solar Plants and Storage in a Power Grid with High Penetration of Renewables by Pere Colet, Benjamín A. Carreras, José Miguel Reynolds-Barredo, Damià Gomila

“…This study introduces an approach to optimize the placement of solar plants and allocation of storage in grids with high share of these variable energy sources by using a simulation framework that captures system-wide emergent behaviors. …”
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