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 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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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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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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Optimizing UI/UX of AIMsCORE Application with Design Thinking to Enhance User Interaction and Engagement by Jannatunnisa, Abdul Rahim, Sayekti Harits Suryawan

“…This method strengthens data credibility and informs problem-based solution design. …”
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Impact of arm position on low dose dual-source CT one-step aortic and cerebral-carotid artery angiography image quality and radiation dose by Meng Wang, Chao Zheng, Lin Yang, Juan Su, Jiexin Sheng, Xiaolong He, Bo Wang, GuangHang Wu

“…Methods Between January 2022 and August 2023,a total of 185 patients were enrolled in the study and underwent low-dose one-stop cerebral carotid aortic CTA. …”
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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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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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Optimal Virtual Power Plant Control Algorithm Considering the Electrical Characteristics of Distributed Energy Resources by Seokwoo Hyun, Geonho Kim, Jungsung Park, Yunhyuk Choi

“…This study addresses the challenges of grid stability posed by the integration of renewable energy sources, focusing on regions, like Jeju Island, where overgeneration complicates energy management. …”
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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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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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Design and Optimization of Optical NAND and NOR Gates Using Photonic Crystals and the ML-FOLD Algorithm by Alireza Mohammadi, Fariborz Parandin, Pouya Karami, Saeed Olyaee

“…A key innovation is the ability to realize both gates within a single structure by adjusting the phases of the input sources. To optimize the phase parameters efficiently, we employ the ML-FOLD (Meta-Learning and Formula Optimization for Logic Design) optimization formula, which outperforms traditional methods and machine learning approaches in terms of computational efficiency and data requirements. …”
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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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Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

“…Without proper control, high levels of renewable integration can pose challenges to optimal dispatch, especially as more generation sources, like wind and solar PV, are introduced. …”
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Dynamic Carbon Emission Measurement and Optimal Dispatching of Power Systems Considering Dual-Carbon Targets by Qiang Li, Feng Zhao, Laidong Zhang, Xuecheng Zhang, Juanyu Liu, Ying Chen, Xinyue Li

“…Based on the dynamic carbon emission measurement model, the study uses a method for accounting for carbon emissions that accounts for the unpredictability of grid-connected renewable energy sources like solar and wind. …”
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Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

“…While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method,  for which the objective function is maximization of entropy, edge strength and pixel intensity. …”
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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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Harnessing greylag goose optimization for efficient MPPT and seven-level inverter in renewable energy systems by K. Rajaram, R. Kannan

“…The proposed GGO algorithm achieved a minimal THD of 1.95%, surpassing methods such as salp swarm optimization (6.14%), artificial neural networks with fuzzy logic (5.9%), hybrid global selective algorithm (GSA) selective harmonic elimination (7.7%), and genetic algorithms with particle swarm optimization (10.84%), demonstrating its exceptional efficacy in improving power quality.…”
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An Extrinsic Calibration Method for LiDAR and Camera Based on Feature Matching by CHEN Meilin, JIANG Guotao, PI Zhichao, HE Qian, TAN Bin, LUO Shuo, YANG Hailang

“…Accurate and stable extrinsic parameter calibrations offer the basis of effective multi-source information fusion. In order to improve the robustness of the perception system, this paper proposes an extrinsic calibration method for LiDAR and cameras based on feature matching. …”
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A Review of Biomass Energy: Comparison of Utilization Methods and Future Prospects by Zhang Kai

“…Co-production, combining biomass with other energy sources (e.g., geothermal or coal), optimizes resource use and increases energy efficiency. …”
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