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

“…In independent renewable energy systems (RESs), one of the primary concerns needing to be addressed is the maintaining of power balances between supplies and requirements that are cost-optimized in residences linked to these systems. The amount of power generated through RESs has substantially risen, with solar and wind being the two primary sources in RESs. …”
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Optimizing extraction of microbial DNA from urine: Advancing urinary microbiome research in bladder cancer by Chuang-Ming Zheng, Ho Won Kang, Seongmin Moon, Young Joon Byun, Won Tae Kim, Yung Hyun Choi, Sung-Kwon Moon, Xuan-Mei Piao, Seok Joong Yun

“…Purpose: This study aimed to evaluate and optimize microbial DNA extraction methods from urine, a non-invasive sample source, to enhance DNA quality, purity, and reliability for urinary microbiome research and biomarker discovery in bladder cancer. …”
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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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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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Proton Exchange Membrane Fuel Cells: An Effective Neural Fuzzy System for Optimal Power Tracking by Assala Bouguerra, Abd Essalam Badoud, Saad Mekheilef

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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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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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Practical Evaluation Framework for Real-Time Multi-Object Tracking: Achieving Optimal and Realistic Performance by Jumabek Alikhanov, Dilshod Obidov, Mirsaid Abdurasulov, Hakil Kim

“…In contrast, those who are unaware of these optimizations may only achieve a HOTA score of 10%. This finding underscores the critical advantage offered by our evaluation method. …”
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Importance-Aware Resource Allocations for MIMO Semantic Communication by Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao

“…Systematic experiments validate CIBA’s effectiveness in deriving importance scores that bridge learning tasks and communication optimization. Comparisons of feature perturbation schemes confirm the necessity of importance-aware resource allocation, with the proposed allocation strategy outperforming conventional methods in task performance metrics. …”
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A diffractometer project for Brazilian Multipurpose Reactor (RMB): McStas simulations and instrument optimization by Alexandre Pinho dos Santos Souza, Luiz Paulo de Oliveira, Fabiano Yokaichiya, Frederico Antonio Genezini, Margareth Kazuyo Kobayashi Dias Franco

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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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Installation of an Electric Car Charger Using the Bald Eagle Optimizer Cascaded PI and LQR Controller by Ali Huzbur Hussien, Khalid Mohammed Ameen Alazawi

“…The Golden Eagle optimization methods are employed to enhance the setting of Proportional-Integral (PI) and Linear Quadratic Regulator (LQR) controller settings for improved conversion efficiency. …”
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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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A Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems by Kawakib Arar Tahir

“…This study identifies key research trends, highlights gaps in the optimization strategies, and emphasizes the need for AI integration, broader adoption of open-source tools, and scalable optimization frameworks. …”
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Construction and optimization of health behavior prediction model for the older adult in smart older adult care by Qian Guo, Peiyuan Chen

“…Future improvements, integrating more data and optimizing technology, will strengthen its potential for providing comprehensive support in older adult care services.…”
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Optimization Dispatch of Distribution Network–Prosumer Group–Prosumer Considering Flexible Reserve Resources of Prosumer by Hao Zhong, Lanfang Li, Qiujie Wang, Xueting Wang, Xinghuo Wang

“…The results show that the optimal method proposed in this paper can fully utilize flexible reserve resources from prosumers, improve the economy of distribution network operations, and reduce the pressure of providing reserves using the upper grid.…”
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Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends by Christos Kyriklidis, Aikaterini Koutouvou, Konstantinos Moustakas, Vayos Karayannis, Constantinos Tsanaktsidis

“…Artificial intelligence and nature-inspired techniques are particularly capable of searching for optimal fuels in complex optimization fields. The current study concerns a recent review of biodiesel production approaches based on evolutionary computation methods. …”
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Voltage Optimal Control Strategy for Distribution Networks with Multiple Integrated Photovoltaic and Energy Storage Machines by Jinglin HAN, Ping HU, Ruosong HOU, Zhiyong CHEN, Hongtao LI, Yuanyuan CHAI

“…Therefore, a voltage optimal control strategy that combines the centralized optimization and distributed real-time control is presented for DNs with multiple integrated PV and energy storage (ES) machines. …”
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Reserch on Low-Carbon Optimal Operation of Offshore Oil and Gas Micro Integrated Energy System by Qian LI, Haitao HUANG, Xiaobin YAN, Changjiang LIAO, Xin PENG, Anan ZHANG

“…Considering the uncertainty of source and load, a stochastic fuzzy economic optimal scheduling model is constructed to realize the coordinated optimization of the system. …”
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