Comparison of two pre-fuel cell carbon capture systems employing methane decomposition and hydrogen membrane: Regression-based machine learning and optimization approach by Amirali Nouri, Araz Emami, Ata Chitsaz, Alireza Fathipour, Navid Kousheshi, Ava Karshenas

“…This study examines two systems designed to operate with zero carbon dioxide emissions, each utilizing different methods for heat generation to support methane decomposition for hydrogen production. …”
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Current Status, Challenges and Future Perspectives of Operation Optimization, Power Prediction and Virtual Synchronous Generator of Microgrids: A Comprehensive Review by Ling Miao, Ning Zhou, Jianwei Ma, Hao Liu, Jian Zhao, Xiaozhao Wei, Jingyuan Yin

“…Then, the microgrid optimization operation technologies are analyzed in detail, including energy management optimization algorithms for efficient use of energy and cost reduction. …”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…A two-stage distributionally robust optimization （DRO） model is proposed， minimizing day-ahead operational costs and intraday costs including carbon trading， rescheduling expenses， and risk penalties. …”
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Isolation and identification of Alcaligenes faecalis W2-3 with high-yield production of dimethyl disulfide by Pingle Wu, Shuaijun Deng, Jian Li, Xiaodi Wei, Rong Zheng, Xiao Men, Haibo Zhang

“…Through single-factor experimental methods, an initial pH of 7 and temperature ranging from 19.5 to 30 °C were demonstrated to be the optimal fermentation conditions for DMDS production. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

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发酵前包被裂殖壶菌微胶囊工艺优化及其对 裂殖壶菌生长和代谢特性的影响Optimization of the preparation process of Schizochytrium sp. microcapsules before fermentation and its effect on the growth and metabo... by 李士鹏1,2，綦文涛2，彭文婷2，刘兴泉1，郭伟群1,2 LI Shipeng1,2, QI Wentao2, PENG Wenting2, LIU Xingquan1, GUO Weiqun1,2

“…In order to investigate the effects of encapsulation before fermentation on the growth and metabolism of Schizochytrium sp. and the production of docasahexaenoic acid (DHA), the microcapsules of Schizochytrium sp. before fermentation were prepared by the endogenous emulsified gel method. The microcapsule preparation process was optimized by single factor experiment and orthogonal experiment, and the growth, metabolism properties and heat resistance of Schizochytrium sp. were investigated in the cured-core and liquefied-core microcapsule conditions. …”
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Mathematical Model for Searching for an Optimal Solution to the Problem of Forming Supply Chains for Raw Materials of Forestry Enterprises under Conditions of Uncertainty by R. S. Rogulin

“…The following research methods were proposed: mathematical modeling, theory and optimization methods. …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

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Optimal Allocation of Irrigation Water Under Different Flow Scenarios Using Multi-stage Stochastic Programming by Emphasizing Economic Productivity by Leila Amanat.Behbahani, Mahnoosh Moghaddasi, Hossain Ebrahimi, Hossein Babazadeh

“…In this study, the aim was to allocate and distribute water between networks and lower crops of Maroon reservoir dam The multi-stage stochastic programming method was used to develop the optimization model under three scenarios of arid, normal and wet years in two management modes and the results were compared with the traditional management figures. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. …”
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An Integrated Experimental-Simulation Calibration Method for the Constitutive Model of 6005A-T6 Aluminum Alloy Welds by Yu Zhu, Lele Zhang, Weiyuan Dou, Wen Liu

“…Additionally, the adaptability of the constitutive model to the calibration method and the influence of optimization results are discussed and analyzed. …”
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High resistance fault detection in DC microgrid using Hilbert Huang transform and vector-based ensemble optimized LSTM networks by H. K. Prashanth Kumar, Ritesh Dash, K. Jyotheeswara Reddy, Nageswara Rao Atyam, Bhabasis Mohapatra

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Design and Implementation of Single Axis Solar Tracking System: Utilizing GPS, Astronomical Equations, and Satellite Dish Actuator for Optimal Efficiency by Rizgar Ahmed Salih, Karzan Qadir Mohammed, Peshawa Osman Hama, Rawaz Othman Hassan, Barham Kamal Noori

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An interval Type-2 fuzzy Fractional-Order PD-PI controller for frequency stabilization of islanded microgrids optimized with CO algorithm by Siavash Shirali, Saeed Zolfaghari Moghaddam, Mortaza Aliasghary

“…Different scenarios are considered in which the effect of the proposed controller on network frequency changes has been compared with two other controllers, i.e., interval type-2 fuzzy fractional-order tilt integral derivative (IT2FFOTID) and interval type-2 fuzzy fractional-order proportional integral derivative (IT2FFOPID) using several optimization methods. Simulation results demonstrate approximately 58.6% and 54.3% improvement in integral time absolute error (ITAE) compared to other two controllers, respectively, in a combined scenario. …”
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Improved TLBO algorithm for optimal energy management in a hybrid microgrid with support vector machine-based forecasting of uncertain parameters by Raji Krishna, S. Hemamalini

“…The worldwide need for electrical energy is increasing, and integrating renewable energy sources (RES) into the power grid will enhance the efficient use of clean energy to fulfill the growing demand for energy. …”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. …”
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Accelerated Modeling of Transients in Electromagnetic Devices Based on Magnetoelectric Substitution Circuits by Sergii Tykhovod, Ihor Orlovskyi

“…Comparing the application of various polynomials enables the selection of the optimal polynomial type. The proposed method has advantages over other known methods. …”
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Apportionment and Inventory Optimization of Agriculture and Energy Sector Methane Emissions Using Multi‐Month Trace Gas Measurements in Northern Colorado by Griffin J. Mead, Daniel I. Herman, Fabrizio R. Giorgetta, Nathan A. Malarich, Esther Baumann, Brian R. Washburn, Nathan R. Newbury, Ian Coddington, Kevin C. Cossel

“…By combining these sector‐apportioned observations with spatially resolved inventories and Bayesian inverse methods, energy and agriculture methane fluxes are optimized across the study's ∼850 km2 sensitivity area. …”
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Optimized smart home energy management system: Reducing grid consumption and costs through real-time pricing and hybrid architecture by Abdelrahman O. Ali, Mohamed R. Elmarghany, Ahmed M. Hamed, Mohamed Nabil Sabry, Mohamed M. Abdelsalam

“…OSHEMS manages, schedules, and monitors energy sources and appliances, determining the optimal consumption mix. …”
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22 Advancing clinical trial reporting and AI integration: Optimizing protocol data extraction using LLMs and regulatory best practices by Ramya Sri Baluguri, Nicholas Anderson

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