Source–load matching and energy storage optimization strategies for regional wind–solar energy systems by Y. Zhu, Q. Li, Z. Li, Z. Zhang

“…<p>In response to the issue of limited new energy output leading to poor smoothing effects on grid-connected load fluctuations, this paper proposes a load-power smoothing method based on “one source with multiple loads”. …”
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Analysis and Optimization of the Coupling between Air-source Heat Pump and Building in Variable Operation Conditions by Li Sihui, Gong Guangcai, Zhou Fuyu, Liu Riming

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Using Convex Optimization to Efficiently Apportion Tracer and Pollutant Sources From Point Concentration Observations by Richard Barnes, Alex G. Lipp

“…As a case study, we use this method to map the elemental geochemistry of sediment sources for rivers draining the Cairngorms mountains, UK. …”
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A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering by Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei, Reza Ghanbarzadeh

“…The primary objective of comprehending the source code is extracting information used during the software maintenance phase. …”
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Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration by Zhiping Chen, Jia Zhang, Daren Zhang, Xiaolin Chang, Wei Zhou

“…The model integrates multi-source data from the Lattice Boltzmann Method (LBM), Pore Network Modeling (PNM), and Finite Difference Method (FDM). …”
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Optimal sizing of hybrid energy storage system under multiple typical conditions of sources and loads by Changling Li, Xinyan Zhang

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Reserve optimization model of wind power with the coordination of multiple type electric power system sources by Han Zhang, Maoyuan Zhang, Xin Li, Chunwei Song

“…Abstract Aiming at the optimization problem of frequency regulation energy reserve cost faced by wind power stations participating in primary frequency regulation, a reserve optimization model of wind power based on DPGMM-LSTM with the coordination of multi-type electric power system sources is proposed. …”
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Resilience-Oriented Optimization of Source-Grid-Load Flexible Resources in Distribution Systems: Review and Prospect by Zhuofei YU, Fei LIU, Ruihuan LIU, Chaofan LIN, Di WU, Houtao SUN, Chen CHEN, Zhaohong BIE

“…The categories and modeling methods of flexible resources on source-grid-load sides, as well as their applications in resilient distribution systems, are reviewed and discussed in detail. …”
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Optimization of Multi-Source Remote Sensing Soil Salinity Estimation Based on Different Salinization Degrees by Huifang Chen, Jingwei Wu, Chi Xu

“…Subsequently, machine learning methods such as random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and multiple linear regression (MLR) were employed, in combination with sensitive spectral indices, to develop a multi-source remote sensing soil salinity estimation model optimized for different salinization degrees (mild or lower salinization vs. moderate or higher salinization). …”
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Non-intrusive load identification method based on VMD and PSO-SVM by YANG Rui, ZOU Xiaosong, XIONG Wei, YUAN Xufeng, ZHENG Huajun, LIU Bin

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PRODUCTION OF THE MICROBIAL EXOPOLYSACCHARIDE, GELLAN, BY SPHINGOMONAS PAUCIMOBILIS BACTERIA. 2.OPTIMIZATION OF GROWTH CULTURAL COMPOSITION by N. B Jafar, Moafak M. Ahmad

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Methodical Principles of Calculation and Analysis of Opened Power Network with Several Power Supply Sources by M. I. Foursanov, A. A. Zolotoy, V. V. Makarevich, A. N. Moukha

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Residual host cell proteins: sources, properties, detection methods and data acquisition modes by Yifan Yao, Yifan Yao, Xuemei Wen, Xuemei Wen, Hongjuan Pan, Hongjuan Pan, Ziwei Chen

“…The research in the future includes the development of more efficient sample pretreatment methods and data processing techniques to improve the sensitivity and accuracy of detection. …”
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A Novel Method for Voltage Sag Source Location Based on HHT and GA-BP by Zhen YANG, Yuchao MA, Li LI, Xin LI, Ziying MA

“…Aiming at the low accuracy of traditional voltage sag source positioning methods, this paper proposes a new location method based on HHT and GA-BP. …”
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Two‐stage stochastic robust optimal scheduling of virtual power plant considering source load uncertainty by Xiaohui Zhang, Yufei Liu

“…Abstract Aiming at the optimal scheduling problem of virtual power plant (VPP) with multiple uncertainties on the source‐load side, this paper proposes a two‐stage stochastic robust optimal scheduling method considering the uncertainty of the source‐load side. …”
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Phycocyanin extraction from Limnospira spp.: sustainable source of natural blue color for the food industry by Mariacristina D'Ascoli, Antonio L. Langellotti, Giovanni L. Russo, Angela Sorrentino, Prospero Di Pierro

“…This comparative study also aims to provide the basis for the development of alternative methods for the optimization of phycocyanin extraction, using also neural networks and artificial intelligence.…”
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Hybrid Adaptive Sheep Flock Optimization and Gradient Descent Optimization for Energy Management in a Grid-Connected Microgrid by Sri Harish Nandigam, Krishna Mohan Reddy Pothireddy, K. Nageswara Rao, Surender Reddy Salkuti

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On the implementation of a global optimization method for mixed-variable problems by Nannicini, Giacomo

“…We describe the optimization algorithm implemented in the open-source derivative-free solver RBFOpt. …”
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Determining the Optimal Source Points in MFS by Minimizing an Energy Gap Functional for 3D Laplace Operator by M. Sajjadmanesh, S. Shakib Khanghah, H. Aydi

“…In this paper, an extended version of the method of minimizing an energy gap functional for determining the optimal source points in the method of fundamental solutions (MFS) is applied to the 3D Laplace operator subject to the Dirichlet and Neumann boundary conditions. …”
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Optimal Configuration of Additional Heat Source for CHP System considering Demand Response Based on Comprehensive Benefits by Yuting Zhao

“…An optimal configuration method for the combined heat and power (CHP) system considering demand response is proposed to scientifically and reasonably configure the parameters of the additional heat source and reduce unnecessary investment and construction costs. …”
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