Apparent and standardized ileal digestibility of calcium in wheat and soybean meal for growing quail chicks using direct method by Sima Heydari, Mahmoud Ghazaghi, Mohammad Rokouei, Mehran Mehri

“…Understanding digestibility metrics is crucial for optimizing dietary formulations to ensure adequate Ca intake, particularly when plant-derived sources of Ca are used.…”
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A Comparative Study on Current- and Voltage-Optimized Circuit Scheme for Multiple-Transmitter and Single-Receiver WPT System by Jin Zhang, Weiao Xu, Dong Chen, Chen Zhang

“…Based on the Lagrange multiplier method, this paper first provides a current- and voltage-optimized circuit scheme to maximize the PDL of the multiple-TX WPT system. …”
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A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications by Ghulam Abbas, Arshad Ali, Mohamed Tahar Ben Othman, Muhammad Wasim Nawaz, Ateeq Ur Rehman, Habib Hamam

“…In this research, we proposed a novel optimized energy pattern factor method (NOEPFM) based on the trust-region-dogleg algorithm and applied it to wind speed data of four cities of the Southern region of Punjab, Pakistan, to determine WD parameters, i.e., shape k and scale c parameters. …”
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Parameter Design and Transfer Characteristic Optimization of Floating-Ground Capacitive Voltage Divider for Wideband High Voltage Measurement by Senyue Qiu, Lei Qi, Xiangyu Zhang, Wuyu Zhang, Xiang Cui, Ningming Guo

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Application of Taguchi Experimental Design in Optimization of Levulinic Acid Production from Cellulose Derived From Millet Stalk by Shehu Ibrahim, Abdullahi Sokoto Muhammad, Kabiru Jega Umar, Ibrahim Magami Muhammad

“…Cellulose is the primary component of lignocellulosic biomass and the main source of renewable materials in chemical industry. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…When attempting to classify data with a high degree of uncertainty, many researchers have turned to heuristic approaches and machine learning (ML) methods. We propose an entirely new ML method in this paper by fusing the Radial Basis Function (RBF) network based on ant colony optimization (ACO). …”
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Exploring Advanced Methodologies for Hybrid Energy System Sizing through Artificial Intelligence Techniques: a comprehensive review by Walid Bensalmi, Ahmed Belhani, Abdellatif Bouzid-Daho

“…This paper explores various design and sizing methods for HES, focusing on combining clean sources, including wind and solar, with conventional energy options. …”
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Design and Optimization Strategy of a Net-Zero City Based on a Small Modular Reactor and Renewable Energy by Jungin Choi, Junhee Hong

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Multi-Time Scale Optimal Dispatch of Distribution Network with Pumped Storage Station Based on Model Predictive Control by Pengyu Pan, Zhen Wang, Gang Chen, Huabo Shi, Xiaoming Zha

“…To address this, a multi-time scale optimal dispatch method based on model predictive control is proposed, including a day-ahead stage and an intra-day rolling stage. …”
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Optimal Split Ratio in Double-Stator Permanent-Magnet Motors Considering Loss Limitations for Robot Joint Applications by Tianran He, Yang Shen, Wei Li, Dawei Liang

“…Additionally, an investigation into the electromagnetic characteristics of the optimized DSPM motor was conducted using the finite element method. …”
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Distributionally robust optimal scheduling of flexible distribution networks considering dynamic spatio-temporal correlation of renewable energy by Shunxiang Yu, Xiaoming Dong, Chengfu Wang, Tianguang Lu

“…Existing methods often treat spatio-temporal correlations among RESs in a static manner, neglecting their dynamic variations and resulting in suboptimal dispatch strategies. …”
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A holistic approach to enhance reliability and profitability through reliable efficiency index optimization and renewable energy integration by Hossein Alizadeh, Alimorad Khajehzadeh, Mahdiyeh Eslami, Mehdi Jafari Shahbazzadeh

“…The epsilon-constrained method was employed to optimize system operations, incorporating uncertainty in RES outputs and market conditions. …”
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Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences by Yihao Wang, Xuying Wang, Yixuan Zheng, Zeyuan Liu, Yu Zhang, Jiani Kang, Wenbo Xue, Jing Zhang, Yu Lei

“…To address the concern of optimization problem of China’s PM2.5 control and the limitation of computational efficiencies for traditional air quality models, we developed an integrated analysis framework to efficiently establish the identification and cost-benefit assessment of PM2.5 control pathways in China by constructing a rapid PM2.5 exposure response method based on the high-order decoupled direct method (HDDM) and coupling the sequential least square algorithm (SLSQP) and health impact assessment model. …”
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The Optimal Scheduling of Integrated Energy System Considering the Incentive and Punishment Mechanism of Electric and Thermal Carbon Emission Factors by Kaiyan Wang, Hengxiang He, Ningning Yang, Xiaowei Wang, Rong Jia

“…To comprehensively explore the potential for carbon reduction through source-load synergy and achieve low-carbon and high-efficiency operation of the system, an IES optimal scheduling method that incorporates a reward and punishment mechanism for dynamic electricity and thermal carbon emission factors is proposed. …”
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Two-Stage Distributionally Robust Optimal Scheduling for Integrated Energy Systems Considering Uncertainties in Renewable Generation and Loads by Keyong Hu, Qingqing Yang, Lei Lu, Yu Zhang, Shuifa Sun, Ben Wang

“…To further manage uncertainties, a distributionally robust optimization (DRO) approach is introduced. This method uses 1-norm and ∞-norm constraints to define an ambiguity set of probability distributions, thereby restricting the fluctuation range of probability distributions, mitigating the impact of deviations on optimization results, and achieving a balance between robustness and economic efficiency in the optimization process. …”
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Optimizing firm value : the role of managerial ownership, institutional ownership, intellectual capital and financial performance as moderating variables by Maulana Malik Ibrahim, Ridwan Nurazi

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Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance by Ganesh Selvaraj, Kanimozhi Rajangam, Pradeep Vishnuram, Mohit Bajaj, Ievgen Zaitsev

“…Abstract Microgrids (MGs) have gained significant attention over the past two decades due to their advantages in service reliability, easy integration of renewable energy sources, high efficiency, and enhanced power quality. …”
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Optimization of Precious Metals Recovery from Electronic Waste by Chromobacterium violaceum Using Response Surface Methodology (RSM) by Wan Nur Fazlina Abdol Jani, Fatihah Suja’, Sharifah Iziuna Sayed Jamaludin, Nor Fadilah Mohamad, Noor Hidayu Abdul Rani

“…An effective recovery technology will be valuable in the future because the concentration of the precious metal contained in the source can be a key driver in recycling technology. …”
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Dynamic Performance Improvement of a Single-Phase VSI with Digital Implementation of an On-Line Optimal Trajectory Control Algorithm by Shah Zaman, Yan Zhang, Jinjun Liu, Danni Yang, Zhenchao Li

“…A single-phase voltage source inverter (VSI) still suffers from a long settling time and significant voltage overshoot/undershoot under the abrupt step-change of load current. …”
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Optimal operation for hybrid AC and DC systems under typhoon disaster considering branch switching and frequency security by Changfeng Liao, Li He, Zhuangxi Tan, Bin Xie, Yong Li, Chaoyang Chen, Yijia Cao

“…To address this issue, this paper proposes an optimal operation method for hybrid AC/DC systems with voltage source converters (VSCs) during extreme events. …”
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