Influence of X-Ray Source Emission Angle onLogging Performance by XIANG Yangjiaqi, FAN Jilin, ZHANG Qiong, JIN Ya, ZHANG Quanwen, XIE Yubei

“…Using this optimization method, the measurement accuracy is greatly improved.…”
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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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Frequency Control Method for Distributed Energy Systems Based on Nash Equilibrium Quantum Particle Swarm Optimization by YI Kang, LUO Wenguang, WANG Tao, CHEN Yufeng

“…To address these issues, the paper proposes a frequency control method based on Nash equilibrium quantum particle swarm optimization (NEQPSO) for distributed energy systems. …”
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Low-carbon optimization planning method for integrated energy system based on DG uncertainty affine model by JIANG Tao, XU Cong, JIA Shaohui, WANG Shen, ZHANG Yajian

“…Aiming at the problem that the output of distributed generators (DG) of new energy sources such as wind power and photovoltaic is uncertain due to changes in environmental factors, and the transaction price of the existing carbon trading model is fixed, resulting in increased carbon reduction costs, an integrated energy system optimization planning method that takes into account dynamic carbon emission constraints and DG uncertainty was proposed. …”
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Enhancing Load frequency control in power systems using Puma Optimizer – Proportional Integral Derivative Method by Trung Kien Do, Thanh Long Duong

“…The control parameters of LFC must be optimally adjusted for stable system operation. However, researchers are currently unable to find a suitable and robust method for optimal tuning of LFC control parameters. …”
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Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River by HUANG Huaping, YIN Kaixia, JIN Gaoyang

“…The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information diffusion theory,proposes an optimal information diffusion interpolation model based on particle swarm optimization (PSO) and cross-validation (CV) with consideration of the disadvantages on key parameter estimation of existing experience information diffusion interpolation model,and evaluates the interpolation effect of the information diffusion interpolation model in terms of four time scales of year,quarter,month and day with inverse distance weighting,ordinary kriging method,universal kriging method and co-kriging method considering the elevation as comparison,taking the source regions of the Yellow River as an example.The results show that overall,the optimal information diffusion interpolation model has the highest accuracy,while the inverse distance weighting has the lowest accuracy.The accuracy of experience information diffusion interpolation model does not differ much from the other three spatial interpolation methods,and the accuracy differences between different methods decrease as the time scale decreases.…”
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Optimization of Energy-saving Operation Strategy of Heat Pump Hot-water System Using Stochastic Load Prediction by Liu Chengning, Liang Xingyu, Shao Liangliang, Zhang Chunlu

“…The energy-saving properties of the optimization method were verified and analyzed using an air-source heat pump hot-water system. …”
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Large-Scale Urban 3D Geological Modeling Based on Multi-Method Coupling Under Multi-Source Heterogeneous Data Conditions by Jixiang Zhu, Xiaoyuan Zhou, Lizhong Zhang

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A spatial matrix factorization method to characterize ecological assemblages as a mixture of unobserved sources: An application to fish eDNA surveys by Letizia Lamperti, Olivier François, David Mouillot, Laëtitia Mathon, Théophile Sanchez, Camille Albouy, Loïc Pellissier, Stéphanie Manel

“…We present a spatial matrix factorization method that identifies optimal eDNA sample assemblages—called pools—assuming that taxonomic unit composition is based on a fixed number of unknown sources. …”
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Investigation of technoeconomic optimization for sizing renewable energy systems using metaheuristic and hybrid algorithms by Bouafia Mohammed, El Fathi Amine, El Akchioui Nabil

“…Morocco, leveraging its abundant solar and wind resources, represents this transition, with a significant portion of its electricity demand met by RE sources. This study focuses on optimizing grid-connected Hybrid Renewable Energy Systems (HRES) in Morocco using technoeconomic approaches, including metaheuristic algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Grey Wolf Optimization (GWO) and Artificial Bee Colony (ABC) and hybrid methods combining these latter with Modified Marquardt Gradient Descent (MGD). …”
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Improving the efficacy against cucumber root-knot nematode and Alleviating the phytotoxicity of fluopyram by optimizing the application method by Yang Liu, Lin Dong, Yuan Gao, Kai Wang, Lingtao Meng, Beixing Li, Daxia Zhang, Feng Liu

“…However, as a common non-fumigation nematicide, its distribution in soil was often the key limiting factor that determined the efficacy and efficiency. To optimize the utilization of fluopyram against RKN, the control efficacy of application methods including blending-of-soil, root-irrigation, drip-irrigation, and furrow-irrigation and the correlation between nematicide distribution and efficacy were studied. …”
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Minimizing of Renewable Energy Sources Impact on the Energy System Operation by the Joint Use of Solar and Wind Generation by V. A. Liubchyk, S. V. Bystrykh, A. N. Kazak

“…The following tasks were set: on the basis of meteorological data, to calculate hourly energy generation by complexes of solar and wind power plants of various combinations of capacities for several years, analyze the generation and, if the hypothesis is confirmed, find the optimal ratio of capacities. In the course of the study, modeling methods and numerical methods for solving optimization problems were used, viz. the iteration method and the nonlinear least squares method. …”
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Multi-Objective Optimization of Buildings’ Exterior Wall Insulation Based on Comprehensive Analysis Models and Assessment Indexes by Haitao Wang, Zhu He, Chengzhou Guo

“…The presented multi-objective optimization method is very helpful in solving the complex engineering problem of optimizing external wall insulation.…”
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The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) by Mohammad Ganje, Somayyeh Gharibi, Fatemeh Nejatpour, Maryam Deilamipour, Kimia Goshadehrou, Sahra Saberyan, Gholamreza Abdi

“…In order to optimize polyphenol extraction from ripe jamun fruit pulp, including traditional and ultrasound-assisted methods, this study assessed the prediction power of response surface methodology (RSM) and adaptive neuro-fuzzy inference systems (ANFIS). …”
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Air-side Thermal-hydraulic Analysis and Parametric Optimization for Vertical-fin Microchannel Heat Exchanger by Zhao Rijing, Wei Xinghua, Huang Dong, Li Feng, Zhao Yongfeng

“…Finally, parametric optimization was conducted using the Taguchi method. …”
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A Feasibility Study of a Virtual Power Line Device to Improve Hosting Capacity in Renewable Energy Sources by Seong-Eun Rho, Sung-Moon Choi, Joong-Seon Lee, Hyun-Sang You, Seung-Ho Lee, Dae-Seok Rho

“…In order to overcome these problems, this paper presents an introduction model and optimal capacity algorithm of a VPL (virtual power line) device, which is a virtual power line operation technology to manage the power system by operating an ESS installed at the coupling point of renewable energy source without additionally expanding the power system infrastructure in a conventional way; this paper also proposes an economic evaluation method to assess the feasibility of the VPL device. …”
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Analysis and Optimization of Dysprosium-Doped Yellow Fiber Lasers for Ophthalmology Applications by Foroogh Khozeymeh, Federica Poli, Wahida Chowdhury, Annamaria Cucinotta

“…This light source is of significant interest for treating diabetic retinopathy, which can cause blindness. …”
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SCUC Considering Loads and Wind Power Forecasting Uncertainties using Binary Gray Wolf Optimization Method by Majid Moazzami, Sayed Jamal Al-Din Hosseini, Hossein Shahinzadeh, Gevork B. Gharehpetian, Jalal Moradi

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RTAPM: A Robust Top-View Absolute Positioning Method with Visual–Inertial Assisted Joint Optimization by Pengfei Tong, Xuerong Yang, Xuanzhi Peng, Longfei Wang

“…This study proposes a reliable UAV top-down absolute positioning method (RTAPM) based on a monocular RGB camera that employs joint optimization and visual–inertial assistance. …”
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RCS Special Analysis Method for Non-Cooperative Aircraft Based on Inverse Reconfiguration Coupled with Aerodynamic Optimization by Guoxu Feng, Chuan Wei, Jie Huang, Juyi Long, Yang Bai

“…To address the challenge of evaluating a radar cross-section (RCS) for a non-cooperative aircraft with limited aerodynamic shape information, this paper presents a multi-source, data-driven inverse reconstruction method. …”
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