Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

“…This research proposes a graph reinforcement learning-driven source-load collaborative optimization method. Based on a domain knowledge graph fusing textile production processes, equipment status, and energy consumption relationships, the method explicitly characterizes the heterogeneous correlation of the source-load system. …”
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Spatially multiplexed single-photon sources based on binary-tree multiplexers with optimized structure by Matyas Mechler, Peter Adam

“…Abstract We develop a method for optimizing the structure of general binary-tree multiplexers realized with asymmetric photon routers aiming at improving the performance of spatially multiplexed single-photon sources. …”
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Coordinated Optimal Scheduling of Source and Load in Integrated Energy System Considering Flexible Resources by Funian HU, Pengcheng ZHANG, Xiaobo ZHOU, Jun CHEN

“…In order to improve the flexible adjustment ability of IES and the consumption level of renewable energy, this paper proposes an IES source-load coordination optimization scheduling method considering flexible resources. …”
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Energy-Saving Light Source Spectrum Optimization by Considering Object's Reflectance by Jingjing Zhang, Run Hu, Bin Xie, Xingjian Yu, Xiaobing Luo, Zhihua Yu, Lijun Zhang, Hong Wang, Xing Jin

“…In this study, a spectrum optimization method by means of a genetic algorithm to minimize the light energy along the absorbed wavelengths while maintaining the light quality of the light source was proposed. …”
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Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties by Guiqing Feng, Kun Yu, Yuntian Zheng, Le Bu, Jinfan Chen, Wenli Xu, Xingying Chen

“…To address this issue, this study proposes an intraday optimization method for zero-carbon buildings under the source-load fuzzy space, which innovatively constructs a fuzzy chance constraint model of Photovoltaic (PV) output and load demand, enforces energy self-sufficiency as a constraint, and establishes a multi-objective optimization framework with thermal comfort as the main objective and power adjustment balance as the sub-objective, so as to quantify the decision risk through intraday energy optimization. …”
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Efficient planning and optimization of integrated energy system considering double uncertainty of source and load by LI Aiwu, DI Liang, DONG Jie, TIAN Zhe, WANG Yi, NIU Jide

“…The design process of integrated energy system will face the uncertainty of renewable energy generation and energy demand, and the risk of sub-optimal decision will be introduced when the deterministic method is used for design. …”
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Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect by Pubo Huang, Yu Wei

“…According to the characteristics of glowworm swarm optimization（GSO）algorithm, to overcome the disadvantages of premature convergence, a new method called “baffle effect”was proposed. …”
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A power-distribution joint optimization arrangement for multi-point source jamming system by Zhihao Cai, Shiqi Xing, Sinong Quan, Xinyuan Su, Junpeng Wang

“…In order to achieve the optimal balance between the two, this paper proposes a power-distribution joint optimization arrangement for the MPSJ system. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…To facilitate practical applications, we developed DesignFlow—an open-source platform that automates the design and optimization of microfluidic devices. …”
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Valorization of Edible Oil Industry By-Products Through Optimizing the Protein Recovery from Sunflower Press Cake via Different Novel Extraction Methods by Christoforos Vasileiou, Maria Dimoula, Christina Drosou, Eleni Kavetsou, Chrysanthos Stergiopoulos, Eleni Gogou, Christos Boukouvalas, Magdalini Krokida

“…Extraction parameters were optimized using response surface methodology (RSM) for each method. …”
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Performance evaluation, prediction analysis and optimization of experimental ORC using artificial neural networks (ANN) by Diki Ismail Permana, Federico Fagioli, Maurizio De Lucia, Dani Rusirawan, Istvan Farkas

“…While many experimental studies on ORC have been conducted, significant gaps remain in accurately predicting unknown or unmeasured data and identifying optimal operating conditions. This research addresses these challenges using machine learning, specifically an artificial neural network (ANN), a self-learning and nonlinear method capable of approximating complex functions, making it ideal for ORC prediction models. …”
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Photocatalytic Degradation of Acid Black 210 dye Using Fixed Bed Reactor Containing Zinc Oxide Nanoparticles: Effects and Box–Behnken Optimization by Zahraa A. Najm, Mohammed A. Atiya, Ahmed K. Hassan

“…SEM, EDAX, and FTIR procedures were among the characterization methods used on (NPs). The produced NPs had a specific surface area of 26 m2 /g and were discovered to be spherical and porous. …”
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Comprehensive Review of Plant Protein Digestibility: Challenges, Assessment Methods, and Improvement Strategies by Mauricio Opazo-Navarrete, César Burgos-Díaz, Cristina Bravo-Reyes, Ivo Gajardo-Poblete, Manuel Chacón-Fuentes, Juan E. Reyes, Luis Mojica

“…Understanding the mechanisms influencing plant protein digestibility is essential for optimizing food formulations and supporting the broader adoption of sustainable protein sources in human diets.…”
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Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

“…An accelerator neutron source target station for energy calibration using the time-of-flight (TOF) method was designed in this paper. …”
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Identifying missing sources and reducing NO_<i>x</i> emissions uncertainty over China using daily satellite data and a mass-conserving method by L. Lu, L. Lu, J. B. Cohen, J. B. Cohen, K. Qin, K. Qin, X. Li, X. Li, Q. He, Q. He

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A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing by Yiang Zhang, Pengxiang Wang, Chaoliang Guan, Meng Liu, Xiaoqiang Peng, Hao Hu

“…A composite data acquisition method using both a camera and probe is designed, and a stepwise global optimization model is constructed by integrating a synchronous iterative localization algorithm with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). …”
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Inverse estimation of the release rate of the heated pollutant source with strong convection and its application to the exhaust system design by Lei Cao, Yi Wang, Yanqiu Huang, Shengnan Guo, Junwei Guo, Yingke Zheng

“…The influence of the denoising filter and the strong convection of the SCHP source on the accuracy of the inverse estimated source release rate (IESR) was analyzed, and an exhaust flow rate calculation method based on the IESR is proposed. …”
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Carbon Capture and Storage (CCS) Implementation as a Method of Reducing Emissions from Coal Thermal Power Plants in Poland by Michał Kopacz, Dominika Matuszewska, Piotr Olczak

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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…Due to its excellent dynamic performance, the model predictive current control (MPC) method is widely adopted in power inverter systems, such as current source inverters (CSI). …”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This method constructs the Improved Whale Optimization -Variational Mode Decomposition-Singular Value Decomposition-Wavelet Threshold Denoising (IWOA-VMD-SVD-WTD) fourth-order processing architecture: IWOA adaptively optimizes the VMD essential variables (K, α) and employs the optimized VMD to decompose the perception coefficient (IMF) of the PEC signal. …”
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