Coordinated optimization scheduling of wind, solar, hydro and methane power generation with adjustable methane by Wengang Chen, Xinrui Wang, RuiMin Tian, Yuze Ji, Helong Liu, Yafei Yuan

“…Through case studies in a Shanxi coal mine under multiple scenarios, the results validate the model's effectiveness in improving methane utilization and coordinating hybrid energy resources, with the proposed fuzzy-enhanced IGDT (F-EIGDT) method demonstrating enhanced robustness against source-load uncertainties compared to conventional approaches. …”
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An Aerodynamic Method for the Analysis of Isolated Horizontal-Axis Wind Turbines by Christian Masson, Idriss Ammara, Ion Paraschivoiu

“…The turbine is represented by a distribution of momentum sources. The resulting governing equations are solved using a Control-Volume Finite Element Method (CVFEM). …”
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OPTIMIZATION OF GRAPE PEELS PARTICLE SIZE AND FLOUR SUBSTITUTION IN WHITE WHEAT FLOUR DOUGH by SILVIA MIRONEASA, MĂDĂLINA IUGA, DUMITRU ZAHARIA, COSTEL MIRONEASA

“…Grape peels flour (GPF) is regarded as a good source of fiber to enrich baked products. The particle size and the amount of grape peels flour (GPF) added in white wheat flour (WWF) are essential formulation factors which affect dough rheology and bread quality. …”
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Strategy To Increase Fee-Based Income Through Optimizing Sukuk Sales To Priority Customers by Rr Nugraheni Putri Indrayanti, Nurhidayah Nurhidayah, Harun Alrasyid

“…Using a qualitative approach with the SWOT analysis method. The results of this study indicate that optimization of sukuk sales has a significant contribution to increasing Fee Based Income (FBI) at Bank Syariah Indonesia (BSI), especially in the priority customer segment in the Malang Area. …”
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Optimization of energy tunnel heat extraction section design based on simulated annealing algorithm by LIU Jiaxin, HAN Chanjuan, CAI Guoqing

“…It is necessary to develop a convenient and reliable method to assist energy tunnel design. To address this problem，an optimization framework is developed to guide the heat extraction section design of energy tunnel in the severe cold region based on numerical simulation and simulated annealing algorithm. …”
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Aggregator Design for Optimal Management of Charging and Discharging of Electric Vehicles in the Smart Grid Context by Reza Eslami

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Optimal Power Procurement for Green Cellular Wireless Networks Under Uncertainty and Chance Constraints by Nadhir Ben Rached, Shyam Mohan Subbiah Pillai, Raúl Tempone

“…Given the increasing global emphasis on sustainable energy usage and the rising energy demands of cellular wireless networks, this work seeks an optimal short-term, continuous-time power-procurement schedule to minimize operating expenditure and the carbon footprint of cellular wireless networks equipped with energy-storage capacity, and hybrid energy systems comprising uncertain renewable energy sources. …”
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Analysis and Optimization of Micro Speaker-Box Using a Passive Radiator in Portable Device by Yuan-Wu JIANG, Joong-Hak KWON, Hyung-Kyu KIM, Sang-Moon HWANG

“…The Finite Element Method (FEM), two-degree-of-freedom (DOF) vibration theory, and a plane circular piston sound source were used to study the electromagnetic, vibration, and acoustic characteristics, respectively. …”
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SCSO: snake optimization with sine-cosine algorithm for parameter extraction of solar photovoltaic models by Qingrui Li, Yongquan Zhou, Qifang Luo

“…The proposed algorithm incorporates three key improvements: (1) integration of the Sine–Cosine Algorithm to enhance the bio-inspired Snake Optimization, balancing exploration and exploitation; (2)The parameters C 1 and C 2 are adaptively adjusted, and the Newton–Raphson method is introduced to accelerate the algorithm’s convergence speed which accelerates convergence; and (3) application of a lens imaging reverse learning strategy to improve exploration capabilities and population diversity, preventing the algorithm from becoming trapped in local optima. …”
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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials by Bohan ZHANG, Jili RONG, Xiuyan CHENG

“…In this study, a comprehensive investigation into the parameter fitting and acoustic performance optimization of porous materials is conducted, utilizing advanced physical models, multifluid impedance transfer theory, and particle swarm optimization algorithms. …”
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A novel framework for optimizing residential load response planning with consideration of user satisfaction by Mohammad Hossein Erfani Majd, Gholam-Reza Kamyab, Saeed Balochian

“…This study demonstrates the effectiveness of the MOA in optimizing residential energy systems, providing a robust solution for reducing electricity costs while integrating renewable energy sources. …”
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Determination method for trace polycyclic aromatic hydrocarbons in paddy soils by HE Mingjiang, SHEN Haoran, ZHA Ting, YU Xiongsheng, LIU Xingmei

“…PAHs are mainly derived from incomplete combustion processes and pyrolysis of organic materials. The occurrence, source, transport and fate of PAHs in various environments have been reported extensively, while the determination method of PAHs varied in the past reports. …”
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Parameter Estimation for Coupled Hydromechanical Simulation of Dynamic Compaction Based on Pareto Multiobjective Optimization by Wei Wang, Lu-Lu Zhang, Jin-Jian Chen, Jian-Hua Wang

“…This paper presented a parameter estimation method based on a coupled hydromechanical model of dynamic compaction and the Pareto multiobjective optimization technique. …”
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Integrating optimal terrain representations from public DEMs using spaceborne LiDAR by Xingang Zhang, Shanchuan Guo, Haowei Mu, Bo Yuan, Zilong Xia, Xiaoquan Pan, Hong Fang, Pengfei Tang, Peijun Du

“…Due to differences in data sources and processing methods, the accuracy of Digital Elevation Models (DEMs) varies greatly in different regions, which poses challenges for users in data selection. …”
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Research on the optimal operation of a prosumer micro energy network centred on data centres by Yuanshi Zhang, Yiwu Ge, Shunjiang Wang, Weiqi Pan, Yiwen Feng, Peng Qiu

“…By considering data interaction and power sharing among multiple micro‐energy networks, the alternating direction method of multipliers algorithm is used to solve the system‐distributed optimization problem in two stages. …”
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Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems by Dao Huy Tuan, Dao Trong Tran, Van Nguyen Ngoc Thanh, Van Van Huynh

“…The results demonstrate significant improvements in frequency stabilization, reduced oscillations and enhanced steady-state accuracy compared to traditional optimization techniques. This study emphasizes the scalability and adaptability of the proposed method to changing load conditions and complexity of the MPSs, providing a potential solution to ensure stability and reliability for the MPSs.…”
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A hybrid modeling framework for groundwater contamination risk: Optimized AHP-DRASTIC and BME by Muyuan Lu, Yuan Liu, Guijian Liu, Guanyu Wang, Yongli Li, Peiwei Sun

“…The assessment of groundwater contamination risk is crucial, especially in regions like northern Anhui, where complex geological conditions and limited groundwater sources coexist. This study proposes a cost-effective approach integrating groundwater vulnerability and functional value to evaluate contamination risk. …”
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An incremental data-driven approach for carbon emission prediction and optimization of heat treatment processes by Qian Yi, Xin Wu, Junkang Zhuo, Congbo Li, Chuanjiang Li, Huajun Cao

“…In manufacturing enterprises, the variety of heat treatment processes, insufficient data in the early stages of production, and the continuous increase of samples over time make it difficult to predict and optimize carbon emissions dynamically. Therefore, this paper proposes a low-carbon optimization method for heat treatment processes based on incremental data-driven approaches. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…Today, deep convolutional neural networks (DCNNs), a novel approach to image classification, have become the most crucial detection method. DCNNs improve detection or classification accuracy by developing machine-learning models with many hidden layers to extract optimal features. …”
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Screening and identification of marine alginate lyase-producing bacteria and optimization of enzyme production conditions by HU Mengdi, LI Yaozu, ZHANG Xiaoyong, MO Meiqing, GAO Xiangyang

“…Using sodium alginate as the sole carbon source, a strain with high-yield alginate lyase from 56 strains of marine bacteria was screened using primary screening by transparent circle method and rescreening for enzyme activity determination by 3,5-dinitrosalicylic acid (DNS) method. …”
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