Optimal Distribution Planning of Solar Plants and Storage in a Power Grid with High Penetration of Renewables by Pere Colet, Benjamín A. Carreras, José Miguel Reynolds-Barredo, Damià Gomila

“…This study introduces an approach to optimize the placement of solar plants and allocation of storage in grids with high share of these variable energy sources by using a simulation framework that captures system-wide emergent behaviors. …”
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A distributed algorithm for solving large-scale p-median problems using expectation maximization by Harsha Gwalani, Joseph Helsing, Sultanah M. Alshammari, Chetan Tiwari, Armin R. Mikler

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Energy Efficiency and Carbon Emission Reduction in Coffee Roasting: Approach of Activity-Based Costing (ABC) Methodology by Wen-Hsien Tsai, Kuo-Hsien Lee, Chung-Chen Huang

“…This study underscores the advantages of ABC in providing precise cost allocation and identifying resource inefficiencies, enabling businesses to implement energy-efficient technologies and optimize operations. …”
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Considering the supply and demand of urban heat island mitigation: A study on the construction of “Source-flow-sink” cooling corridor network of blue and green landscape by Shengyu Guan, Xinyu Zhang, Ting Zhang, Haihui Hu

“…From the perspective of network construction, the shortcomings and challenges existing in Shenyang’s cooling network, such as the lack that included the coverage of “working” corridors and spatial inequality, which can be addressed by interconnecting more “source” centers with “sink” centers to optimize cooling capabilities. …”
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Optimizing planting management practices considering a suite of crop water footprint indicators —A case-study of the Fengjiashan Irrigation District by Yujie Yuan, Jichao Wang, Xuerui Gao, Kejing Huang, Xining Zhao

“…Irrational allocation of water resources, and excessive fertilization are the main problems facing the sustainable development of agriculture in China. …”
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Data Siting and Capacity Optimization of Photovoltaic–Storage–Charging Stations Considering Spatiotemporal Charging Demand by Dandan Hu, Doudou Yang, Zhi-Wei Liu

“…This paper proposes a two-stage data-driven holistic optimization model for the siting and capacity allocation of charging stations. …”
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Optimizing grid-dependent and islanded network operations through synergic active-reactive power integration by Zohaib Hussain Leghari, Dalila Mat Said, Mazhar Baloch, Pervez Hameed Shaikh, Hafiz Mudassir Munir, Radomir Gono, Tomas Novak, Petr Moldrik

“…The first stage proposes an improved Jaya algorithm (IJaya) to optimize DG and SCB allocation during grid-connected operation, aiming to reduce power loss and improve voltage profiles. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…The objective is to design a model that allocates resources optimally while maintaining stability. …”
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The Operation Strategy of a Multi-Microgrid Considering the Interaction of Different Subjects’ Interests by Siwen Wang, Hui Chen, Chunyang Gong, Yanfei Shang, Zhixin Wang

“…The microgrid is primarily concerned with achieving self-balancing between power sources, the network, loads, and storage. In decentralized multi-microgrid (MMG) access scenarios, the aggregation of distributed energy within a region enables the unified optimization of scheduling, which improves regional energy self-sufficiency while mitigating the impact and risks of distributed energy on grid operations. …”
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Joint Optimization of Spectrum and Power Control in 6G Multi-UAV Networks: Managing Data Redundancy by Mohammad Ahmed Alnakhli

“…We propose a linear optimization model for bandwidth allocation that accounts for both correlated and uncorrelated data scenarios. …”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…The proposed approaches in this study hold significant practical value, particularly in improving software quality, optimizing testing resource allocation, and reducing maintenance costs, offering broad potential for application in real-world software engineering scenarios.…”
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Optimizing Costs in Plastic Surgery: A Systematic Review of Time-driven Activity-based Costing Applications by Emily L. Isch, MD, Gabrielle Kozlowski, BS, D. Mitchell Self, MD, Theodore E. Habarth-Morales, BS, 1LT, USAR, Sydney Somers, BS, Ahilan Sivaganesan, MD, David Kim, MD, Heather McMahon, MD, Andrew Newman, MD, Matthew Jenkins, MD

“…A systematic review was conducted on studies applying TDABC, activity-based costing, and cost-to-charge ratio in plastic surgery, sourced from PubMed. Inclusion criteria focused on peer-reviewed studies from the last decade assessing costing strategies in aesthetic and reconstructive plastic surgery, resulting in 17 studies that provided empirical data on cost drivers and resource allocation. …”
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A multi-objective synergistic optimization model considering the water-energy-food-carbon nexus and bioenergy by Gaiqiang Yang, Yuxin Su, Lijuan Huo, Dongpeng Guo, Yusi Wu

“…Carbon dioxide (CO2) emissions are the major contributor to overall carbon emissions, followed by methane (CH4). The optimized allocation of water resources results in a more reasonable ratio between surface water and groundwater supply, with 0.41 × 108 m3 coming from groundwater and 1.93 × 108 m3 from surface water, effectively alleviating the problem of regional water resources tension and guaranteeing the long-term stability of agricultural production. …”
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Research on Intelligent Hierarchical Energy Management for Connected Automated Range-Extended Electric Vehicles Based on Speed Prediction by Xixu Lai, Hanwu Liu, Yulong Lei, Wencai Sun, Song Wang, Jinmiao Xiang, Ziyu Wang

“…Focusing on connected car-following scenarios, acceleration sequence prediction is performed based on Kalman filtering and preceding vehicle acceleration. A dual-layer optimization strategy is subsequently developed: in the upper layer, optimal speed curves are planned based on road network topology and preceding vehicle trajectories, while in the lower layer, coordinated multi-power source allocation is achieved through <i>EMS_MPC-P</i>, a Bayesian-optimized model predictive EMS based on Pontryagin’ s minimum principle (PMP). …”
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RESEARCH ON APPLICABILITY OF BIONIC TECHNIQUES OF ARTIFICIAL BEE COLONIES FOR IMPLEMENTATION OF CLASSICAL TRANSPOSITION CIPHER CRYPTANALYSIS by Yury Olegovich Chernyshev, Alexander Sergeyevich Sergeyev, Engeny Olegovich Dybrov, Alexander Nikolaeyvich Ryazanov

“…It is shown that the target search i s the d etermination of an optimal symbol combination with the highest value of the objective function. …”
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Mixed fleet-based two-echelon vehicle routing optimization for cold chain logistics with diverse recharging strategies. by Yaling Li, Wenzhu Liao, Yuqi Huang

“…The presented model optimizes economic and environmental considerations to mitigate air pollution and reduce dependence on non-renewable energy sources while providing feasible routes. …”
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Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation by Oladimeji Ibrahim, Mohd Junaidi Abdul Aziz, Razman Ayop, Ahmed Tijjani Dahiru, Wen Yao Low, Mohd Herwan Sulaiman, Temitope Ibrahim Amosa

“…By leveraging the adaptability of fuzzy logic to adjust PSO parameters dynamically, the method optimizes the allocation and utilization of diverse energy resources within a grid-connected microgrid. …”
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Centralized Shared Energy Storage Optimization Framework for AC/DC Distribution Systems with Dual-Time-Scale Coordination by Yidi Zhu, Qian Xiao, Hongjie Jia, Wenbiao Lu, Yu Jin

“…Conventional shared energy storage (SES) allocation and coordinated operation mechanism are mismatched with the actual time-varying demand of the distribution system, resulting in low utilization of energy storage and renewable energy sources (RES), which restricts the system operational efficiency and RES integration. …”
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Scientific planning of dynamic crops in complex agricultural landscapes based on adaptive optimization hybrid SA-GA method by Changlong Li, Zengye Su, Yudan Nie, Zhiyi Ye, Jinyi Li, Jing Wang, Zicong Yang, Xuxin Li, Weijian Zeng, Yanjian Chen

“…This research establishes an integrated “monitoring-modelling-decision” paradigm, driven by multi-source data and machine learning, offering a practical and robust tool that provides valuable guidance for enhancing resource allocation efficiency and promoting sustainable precision agriculture in complex topographical regions, thereby holding significant reference value for optimising agricultural production nationwide.…”
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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…A central data hub, the Master Data Plan (MDP), will aggregate and analyze information from diverse sources, feeding AI algorithms that can identify risk factors for ASD, personalize treatment plans based on individual needs, and even predict potential relapses. …”
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