Multi-Timescale Battery-Charging Optimization for Electric Heavy-Duty Truck Battery-Swapping Stations, Considering Source–Load–Storage Uncertainty by Peijun Shi, Guojian Ni, Rifeng Jin, Haibo Wang, Jinsong Wang, Zhongwei Sun, Guizhi Qiu

“…With the widespread adoption of renewable energy sources like wind power and photovoltaic (PV) power, uncertainties in the renewable energy output and the battery-swapping demand for electric heavy-duty trucks make it challenging for battery-swapping stations to optimize battery-charging management centrally. …”
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IMPACT OF SEASONALITY OF GENERATION AND LOAD ON THE OPTIMAL CAPACITY OF THE ENERGY STORAGE SYSTEM OF THE PROSUMER’S MICROGRID by O.В. Кулапін, A.В. Івахнов, С.O. Федорчук, К.В. Махотіло, Д.О. Данильченко, О.В. Булгаков

“…Due to the instability of renewable energy sources, maintaining the stable operation of microgrids becomes an urgent and difficult task. energy storage systems can provide uninterrupted power for such Microgrids, but their integration is accompanied by challenges related to determining the optimal storage parameters. …”
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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

“…This study aims to develop a high-precision method to fill spatial AOD missing values and generate daily full-coverage AOD products for the Beijing–Tianjin–Hebei region in 2021 by integrating multi-dimensional data, including meteorological models, multi-source remote sensing, surface conditions, and nighttime light parameters, and applying machine learning methods. …”
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Impact of the Spatiotemporal Relationship Between Blast Source and Protected Area on Wave Arrival Sequence and Vibration Control Methods in Bench Blasting by Sijie Wang, Haojun Wu, Min Gong, Xiaodong Wu

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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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Cable External Breakage Source Localization Method Based on Improved Generalized Cross-Correlation Phase Transform with Multi-Sensor Fusion by Xuwen Wang, Jiang Li

“…In response to the need for cable outer sound source localization, this paper proposes a collaborative localization method based on an improved generalized cross-correlation phase transform (GCC-PHAT) and multi-sensor fusion. …”
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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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Construction and optimization of ecological security patterns in ecologically fragile areas: a case study of Lanzhou City, China by Jianhong Dong, Lina Li, Wenjin Yang, Benteng Liu, Xinhong Zhang

“…Third, the Minimum Cumulative Resistance (MCR) model, GIS Hydrological Analysis module and Spatial Analysis module were used to divide ecological suitability zones, determine ecological corridors, and identify ecological nodes, so as to construct ESPs and propose optimization strategies.ResultsThe results showed as follows: 1 Spatial differentiation of ecological sources (1388.73 km2, 10.61%) predominantly in northwestern and southern regions, contrasting with urban sources (527.66 km2, 4.03%) concentrated along the Yellow River Valley and Qinwangchuan Basin; 2 According to the MCR difference between ecological sources and urban sources, the study area was divided into ecological core zone (ECZ), ecological buffer zone (EBZ), optimized construction zone (OCZ), and suitable construction zone (SCZ), with the proportions of 37.05%, 25.68%, 18.53% and 18.74%, respectively; 3 Based on the theory of “matrix - patch - corridor - node” in landscape ecology, the ESPs of Lanzhou City was constructed with the framework of “One belt, Two rings, Four screens, Six districts and multiple corridors”.DiscussionThe results can provide reference for ecological environment protection and ecosystem restoration in the upper reaches of the Yellow River Basin in China.…”
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Optimizing success rate with Nonlinear Mapping Control in a high-performance raspberry Pi-based light source target tracking system. by Guiyu Zhou, Bo Zhang, Qinghao Li, Qin Zhao, Shengyao Zhang

“…To overcome these issues, we propose a nonlinear mapping control method that enhances the success rate of light source target tracking systems. …”
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Optimal Operation of Multi-Source Power Generation System with Electric Heater and Concentrating Solar Power Plant Considering Conditional Risk Cost by Chunhua PENG, Yi LIU, Huijuan SUN

“…For the minimal comprehensive cost under multiple scenarios, an optimal operation model of a multi-source power generation system with the EH-CSP plant considering conditional risk cost was constructed. …”
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Two-Layer Optimal Scheduling and Economic Analysis of Composite Energy Storage with Thermal Power Deep Regulation Considering Uncertainty of Source and Load by Chao Xing, Jiajie Xiao, Xinze Xi, Jingtao Li, Peiqiang Li, Shipeng Zhang

“…A two-layer scheduling method of energy storage that considers the uncertainty of both source and load is proposed to coordinate thermal power with composite energy storage to participate in the peak regulation of power systems. …”
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Optimizing Baffle Length for Mixed Convective Flow Within a Ventilated Square Cavity with Discrete Heat Sources Mounted at Side Walls by Saad Been Mosharof, HM Toufik Ahmed Zisan, Tahmidul Haque Ruvo, Md. Mahmud-Or-Rashid

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An interval bilateral regulation framework of water resources supply and demand in irrigation area under water sources uncertainty by Zhan Shu, Yan Kang, Ying Gao, Xuemai Shi, Wanxue Li, Shuo Zhang, Songbai Song, Lingjie Li

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EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems by Andre Costa Batista, Ricardo Adriano, Lucas S. Batista

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Identification of a Time-Dependent Source Term in Multi-Term Time–Space Fractional Diffusion Equations by Yushan Li, Yuxuan Yang, Nanbo Chen

“…Regarding the inverse problem, we prove the solution uniqueness and stability estimates based on interior measurement data. The source identification problem is reformulated as a variational problem using the Tikhonov regularization method, and an approximate solution to the inverse problem is obtained with the aid of the optimal perturbation algorithm. …”
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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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Microseismic Electronic Fencing for Monitoring of Transboundary Mining in Mines by Jianbiao Yang, Guangyin Lu, Lei Li, Dazhou Zhang

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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

“…The quality of source code is negatively impacted by code smells. …”
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The Number of Global Solutions for GPS Source Localization in Two-Dimension by Kiwoon Kwon

“…Many optimization methods have been attempted to mitigate different kinds of noises. …”
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Optimizing cyanobacterial hydrogen production: metabolic and genetic strategies with glycerol supplementation by Ayshat M. Bozieva, Makhmadyusuf K. Khasimov, Mahipal S. Rao, Maria A. Sinetova, Roman A. Voloshin, Dmitry O. Dunikov, Dmitry O. Dunikov, Anatoly A. Tsygankov, Yoong Kit Leong, Yoong Kit Leong, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Barry D. Bruce, Barry D. Bruce, Barry D. Bruce

“…However, improving hydrogen yields requires strategic metabolic and genetic modifications to optimize energy flow and overcome photosynthetic limitations.MethodsFour cyanobacterial species were evaluated for their hydrogen production capacities under varying experimental conditions. …”
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