Optimized multi-unit coordinated scheduling based on improved IGDT: Low-carbon scheduling research for the electric-heat-oxygen integrated energy system by Zhe Yin, Zhifan Zhang, Ruijin Zhu, Yifan Zhang, Jiyuan Wang, Wenxing Tang

“…The model integrates carbon capture and storage with power-to-gas (CCS-P2G), concentrated solar power plant (CSPP), combined heat and power (CHP) unit, and ground-source heat pump (GSHP). By optimizing the coordinated operation of multiple energy sources, the model enhances their complementarity and interaction. …”
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“Photovoltaic +” Multi-Industry Integration for Sustainable Development in “Desert-Gobi-Wilderness” Region: Geospatial Suitability Simulation and Dynamic Site Selection Decision Op... by Zhaotong Song, Jianli Zhou, Cheng Yang, Shuxian Wu, Zhuohao Chen, Jiawen Sun, Yunna Wu

“…Part 1 establishes a multi-dimensional suitability assessment system that takes into account heterogeneous data from multiple sources. Part 2 uses an integration method based on BWM-CRITIC-TODIM for priority ranking analysis, which first uses a Geographic Information System (GIS) to carry out suitability simulation for the entire region of China—identifying six alternative regions—then uses the interactive and multi-criteria decision-making (MCDM) method to prioritize the alternative areas. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…The power management controller is a combination of the twisting sliding-mode controller (TSMC) and Modified Pufferfish Optimization Algorithm (MPOA). The proposed method is implemented, and the application results are matched with the Mountain Gazelle Optimizer (MSO) and Beluga Whale Optimization (BWO) Algorithm by evaluating the PV power output, EV power, battery-power and battery-energy utilization, grid power, and grid price to show the merits of the proposed work.…”
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A Hybrid Multi-Criteria Decision-Making and Multi-Objective Framework for Optimal Sizing of PV-Powered EV Charging Station With Battery Storage by Soumya Sathyan, V. Ravikumar Pandi, Preetha Sreekumar, Nishant Thakkar, Surender Reddy Salkuti

“…A Multi-Objective Particle Swarm Optimization (MOPSO) approach is employed to identify optimal configurations in the first layer, which are then evaluated using a hybrid TOPSIS-AHP-based Multi-Criteria Decision-Making (MCDM) method to select the most balanced solution in the second layer. …”
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Aplikasi Algoritma Differential Evolution untuk Desain Optimal Load Frequency Control pada Pembangkit Listrik Tenaga Hibrid Angin dan Diesel by Muhammad Ruswandi Djalal, Machrus Ali, Hidayatul Nurohmah, Dwi Ajiatmo

“…In this research, we proposed a method of optimizing PID parameters in wind-diesel by using intelligent method based on Differential Evolution (DEVO). …”
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AdvFaceGAN: a face dual-identity impersonation attack method based on generative adversarial networks by Hong Huang, Yang Yang, Yunfei Wang

“…Innovatively, we incorporate source identity loss into the identity loss calculation, discovering that minor reductions in target identity similarity can be traded for significant improvements in source identity similarity, thus making the adversarial faces generated by our method highly similar to both the source identity and the target identity, addressing limitations in existing impersonation attack methods. …”
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Pit Collapse Risk Fusion Early-Warning Method Based on Machine Learning and Improved Cloud Dempster–Shafer by Jiajia Zeng, Bo Wu, Cong Liu

“…A high-accuracy metro pit collapse risk fusion early-warning method is proposed in present study. The main contributions include (1) presenting a new input to the fusion model by optimizing the machine learning model through a multi-step rolling method, and then using the basic probability assignment values obtained from the cloud model as input to the fusion model and (2) developing an improved methodology to address the paradoxical results of the fusion of traditional Dempster–Shafer evidence theory when there is a high level of conflict in multi-source risk prediction data. …”
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Wind Power Short-Term Prediction Method Based on Time-Domain Dual-Channel Adaptive Learning Model by Haotian Guo, Keng-Weng Lao, Junkun Hao, Xiaorui Hu

“…After TCN-based feature compression, an adaptive weighted early fusion mechanism dynamically optimizes channel weights. The ACON adaptive activation function autonomously learns optimal activation patterns, with fused features visualized through visualization techniques. …”
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A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks by Xiping Ma, Wenxi Zhen, Haodong Ren, Guangru Zhang, Kai Zhang, Haiying Dong

“…To address the issues arising from the integration of a high proportion of distributed generation (DG) into the distribution network, which has led to the transition from traditional single-source to multi-source distribution systems, resulting in increased complexity of the distribution network topology and difficulties in fault localization, this paper proposes a fault localization method based on graph convolutional networks (GCNs) for distribution networks with a high proportion of distributed generation. …”
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A Deep Learning Inversion Method for 3D Temperature Structures in the South China Sea with Physical Constraints by Dongcan Xu, Yahao Liu, Yuan Kong

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The Comparison of Free Cell and Immobilization Cell Fermentation on Bioethanol Production from Sorghum Stem by SSF and SHF Method by Ayu Ratna Permanasari, Arum Syamfitri, Devina Maharani, Sinta Setyaningrum, Wahyu Wibisono

“…This study aimed to determine the effect of fermentation using free cell and cell immobilization techniques on various pH, as well as to identify the most optimal fermentation method (SHF or SSF) for producing the highest ethanol content in sorghum stem fermentation.  …”
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Development of an LC-MS Method for the Analysis of Birch (<i>Betula</i> sp.) Bark Bioactives Extracted with Biosolvents by Inmaculada Luque-Jurado, Jesús E. Quintanilla-López, Rosa Lebrón-Aguilar, Ana Cristina Soria, María Luz Sanz

“…High precision (RSD < 3.3%), sensitivity (LOD: 23 ng mL⁻¹ and 29 ng mL⁻¹ for Bet and BAc, respectively), and accuracy (95–102% recovery) were found for this optimized method, using an acidulated water–methanol mixture as the mobile phase and sodium acetate as an additive. …”
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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

“…This study developed an operational-oriented lightweight framework for three-dimensional ocean state reconstruction by integrating multi-source observations through a computationally efficient multivariate empirical orthogonal function (MEOF) method. …”
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Direct Transport Calculation of Three-dimensional C5G7 Benchmark Based on the Random Ray Method by SONG Peitao1, 2, 3, , QIN Shuai4, ZHANG Qian4

“…Future efforts should focus on coupling TRRM with coarse-mesh finite difference (CMFD) method during active batches to provide a stabilized fission source distributions and enhance convergence rates for localized quantities such as pin power. …”

A simplified 3D finite difference method for electromagnetic logging while drilling simulation in symmetrical models by Fengbo Li, Fengbo Li, Fengbo Li, Zhenguan Wu, Weining Ni, Weining Ni, Weining Ni, Xin Li, Xin Li, Xin Li, Xiaoqiao Liao, Hong Xiao, Yunxin Zeng

“…In this paper, we present a simplified 3D finite-difference frequency domain method for symmetric geological models. In such models, the electromagnetic field generated by a magnetic dipole source exhibits symmetry in all directions. …”
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A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features by Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li

“…The deep-layer module applies an optimized feature set to further classify thinly interbedded sandstone and mudstone. …”
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Enhancing Efficiency in Hybrid Solar–Wind–Battery Systems Using an Adaptive MPPT Controller Based on Shadow Motion Prediction by Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Nasrin Salehi, Mahyar Moradi, José J. M. Machado, João Manuel R. S. Tavares

“…A hybrid network is modeled, comprising a wind turbine with a doubly-fed induction generator (DFIG), a solar power plant with photovoltaic (PV) cells, an MPPT system, a Z-source converter, and a storage system. The proposed approach employs a motion detection-based method, utilizing image-processing techniques to optimize the MPPT of PV cells based on shadow movement patterns within the solar power plant area. …”
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Weld Bead Shape and Formation Prediction for Robotic MIG Welding Process Using Numerical Calculation by Ping Yao, Yunyi Huang, Riheng He, Junxi Huang, Meiyi Chen, Wenxiao Yu, Kang Zhou

“…To optimize the robotic MIG welding process for joining 316 L stainless steel sheets and to clearly understand the process, a new numerical model for a combined heat source, based on a Gaussian surface and Gaussian cylinder, was developed using ANSYS software. …”
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Robust Pareto Transistor Sizing of GaN HEMTs for Millimeter-Wave Applications by Rafael Perez Martinez, Stephen Boyd, Srabanti Chowdhury

“…We utilize a derivative-free optimization method to effectively identify robust Pareto optimal device designs. …”
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Review of frequency response strategies in renewable-dominated power system grids: Market adaptations and unit commitment formulation by Azeez O. Olasoji, D.T.O. Oyedokun, Samuel O. Omogoye, Chris Thron

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