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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Holistic assessment methodology for Positive Energy Districts by Jakub Kvasnica, Kateřina Válková

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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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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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Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

“…It has emerged as a primary source; however, optimizing energy utilization and solar panel efficiency to maximize absorbed solar radiation remains a significant challenge. …”
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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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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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Optimizing breeding strategies for early-maturing white maize through genetic diversity and population structure. by Hellen Mawia Mukiti, Baffour Badu-Apraku, Ayodeji Abe, Idris Ishola Adejumobi, John Derera

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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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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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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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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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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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Optimizing hardware configuration for solar powered energy management in battery ultracapacitor hybrid electric vehicles by Shraddha Kaushik, K. Rachananjali

“…The primary storage battery’s longevity and overall system efficiency are intended to be increased by the EMS’s ability to forecast driving circumstances and lessen the load on it. The method optimizes power distribution among numerous energy storage sources by using sophisticated hardware configurations. …”
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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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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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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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