Faulted Line Segment Location Method for Low-Voltage Distribution Network Based on Adjacency Matrix by Yongfeng YAO, Qizhe WANG, Huiping WANG, Jia JIA, Xibin XIA

“…The monitoring information of the fault monitoring unit is calculated according to the shortest path from the power source to the estimated fault line section. Based on these works, the fault line segment location model of low-voltage distribution network considering multiple faults is developed, and the particle swarm optimization algorithm is used to solve the model. …”
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A Systematic Analysis of a Small-Scale HAWT Configuration and Aerodynamic Performance Optimization Through Kriging, Factorial, and RSM Methods by Farzad Ghafoorian, Hui Wan, Sahel Chegini

“…This study explores the impact of design parameters, including rotor diameter, hub diameter, blade number, blade chord length distribution, twist angle distribution, and airfoil profile, on the turbine power coefficient. Subsequently, optimization efforts are applied to the results obtained for a 3-blade rotor with SG6043 airfoil profile using three distinct optimization methods: Kriging, factorial, and the classical polynomial Response Surface Method (RSM). …”
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Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network by Raheleh Ghadami, Javad Rahebi

“…This study aims to address these limitations by developing an integrated approach combining swarm intelligence with ML and DL techniques for Alzheimer’s disease classification. <b>Method:</b> This proposal methodology involves sourcing Alzheimer’s disease-related MRI images and extracting features using convolutional neural networks (CNNs) and the Gray Level Co-occurrence Matrix (GLCM). …”
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Exploration of comprehensive two-dimensional liquid chromatography: Theoretical aspects and practical considerations - A tutorial by Katia Arena, Francesco Cacciola, Roberto Laganà Vinci, Paola Dugo, Luigi Mondello

“…The profits of such a technique, compared to the 1D-LC approach, are the increased resolving power along with significant reduced ion enhancement or suppression phenomena in the MS source. This tutorial aims to provide detailed information on theoretical and practical aspects of the LC×LC approach with a particular focus on column combination, method optimization and separation performance. …”
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Rolling Based on Multi-Source Time–Frequency Feature Fusion with a Wavelet-Convolution, Channel-Attention-Residual Network-Bearing Fault Diagnosis Method by Tongshuhao Feng, Zhuoran Wang, Lipeng Qiu, Hongkun Li, Zhen Wang

“…However, when dealing with non-stationary and noisy vibration signals, traditional fault diagnosis methods are often constrained by limited feature characterization from single time–frequency analysis and inadequate feature extraction capabilities. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…These results demonstrate that the proposed method significantly improves the accuracy of identifying complex real-type defects in 10 kV cable intermediate joints under multi-source feature conditions, providing a reliable diagnostic basis and technical reference for partial discharge detection in industrial applications.…”
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Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management by Mohammad Shahriyar Parvez, Xin Feng

“…Despite its significance, existing SES delineation methods often rely on subjective judgment and struggle with the non-linear, multi-scale nature of SES data, leading to challenges in effective resource management and policymaking. …”
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Multi-objective optimal probabilistic planning in distribution systems considering load growth by Ayat Saleh

“…A comprehensive stochastic strategy is offered for a number of uncertainties, such as load increase and output power from renewable energy sources. Two IEEE bus networks are used to illustrate the suggested method's efficacy. …”
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Optimal Coil Design and irDA-Based Communication Method for Auto-Guided Vehicles With Thermally Stable and High-Efficiency Operation by Kang M. Seo, Eun S. Lee

“…In this paper, an optimal coil design methodology for inductive power transfer (IPT) systems is proposed, providing a systematic and practical approach for coil designers working with voltage-source-based series-series topologies. …”
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Adaptive Optimization and Planning Design Method for DC Distribution Grid System Based on Optical Storage Direct and Flexible Constructed Cluster by Chenghui Lin, Zhanpeng Xu, Qihui Feng, Wuliang Chen, Jianyang Zhu

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A Novel Renewable Energy Scenario Generation Method Based on Multi-Resolution Denoising Diffusion Probabilistic Models by Donglin Li, Xiaoxin Zhao, Weimao Xu, Chao Ge, Chunzheng Li

“…Scenario generation technology has emerged as a critical tool to quantify uncertainty and support dispatch optimization. Nevertheless, conventional scenario generation methods often fail to produce highly credible wind and solar output scenarios. …”
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Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State by Manuel Saba, David Valdelamar Martínez, Leydy K. Torres Gil, Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón

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Identifying the Combined Impacts of Sensor Quantity and Location Distribution on Source Inversion Optimization by Shushuai Mao, Jianlei Lang, Feng Hu, Xiaoqi Wang, Kai Wang, Guiqin Zhang, Feiyong Chen, Tian Chen, Shuiyuan Cheng

“…Source inversion optimization using sensor observations is a key method for rapidly and accurately identifying unknown source parameters (source strength and location) in abrupt hazardous gas leaks. …”
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Control optimization for permanent magnet synchronous generators in multi-source power systems by LI Lingyun, LIU Weizhi, WANG Yongxiang, LIU Yang

“…The results demonstrate that the proposed optimization method for the control of PMSGs tailored to multi-source power transmission systems achieves superior control performance by increasing the rate of disturbance inhibition, ensuring the stability of the DC-side voltage, and mitigating adverse impacts of complex conditions on the generators.…”
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Optimal Management of High-Voltage Line Congestions Using Power Source Redispatching by Paweł Pijarski, Adrian Belowski, Ľubomír Beňa, Tomasz Binkowski, Bartłomiej Mroczek

“…The combination of the power flow tracking method and metaheuristic optimization allows for the effective elimination of line overloads. …”
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Optimizing context-based location extraction by tuning open-source LLMs with RAG by Zifu Wang, Yahya Masri, Anusha Srirenganathan Malarvizhi, Tayven Stover, Samir Ahmed, David Wong, Yongyao Jiang, Yun Li, Mathieu Bere, Daniel Rothbart, Dieter Pfoser, David Marshall, Chaowei Yang

“…Extracting the geographic locations from text within their contexts is challenging, even with Natural Language Processing (NLP) tools and the latest Large Language Models (LLMs). We propose to optimize LLMs using Retrieval-Augmented Generation (RAG) and prompt-tuning methods, such as zero-shot and instruction-based prompting to improve the precision of extracting location information from news. …”
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Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…Different designs of a 48 slot–8 pole motor are simulated with finite element analysis, then the outputs are used to train artificial neural networks that are employed to find the optimal design with different approaches. The method incorporates an innovative use of the neural network-based variance estimation (NNVE) technique to efficiently calculate the standard deviation of the objective functions. …”
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Quantitative Method of Response Value of Integrated Energy Equipment Based on Global Sensitivity Analysis by HUANG Yixiang, DOU Xun, LI Linxi, YANG Hanyu, YU Jiancheng, HUO Xianxu

“…Therefore, this paper proposes a method for quantifying the response value of integrated energy devices based on Sobol’s global sensitivity analysis. …”
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Optimization of capacity configuration design for a composite system combining medium-deep ground source heat pump with auxiliary heat source by Guangqiu Zhang, Jintang Li, Ji Li, Zongyu Sun

“…To address this issue, this study proposes a composite system combining MGSHP with an auxiliary heat source. Given its recent development, optimized configuration designs remain relatively unexplored Therefore, this study establishes an optimization model for the composite system by simulating typical engineering projects using dynamic methods based on building heat load data. …”
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Optimization of Medium Composition for Streptomyces sp. PB2 Chitinase Production using Response Surface Methodology by Anandita Perwita Kurniawan, Indun Dewi Puspita, Amir Husni

“…PB2 using the Response Surface Method. Initial screening was done to determine additional carbon and nitrogen sources in colloidal chitin broth suitable for increasing chitinase activity. …”
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