Enhancing microgrid performance: Optimal proactive reactive power dispatch using photovoltaic active power forecasts by Alexander Casilimas‐Peña, Karol Rosen, César Angeles‐Camacho

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Optimized Image Dehazing Using Dark Channel Prior With Minimum Fusion and Improved Atmospheric Light Handling by Ahmad Hussain, Mansoor Iqbal, Sheraz Aslam, Saad Alahmari, Abdulwahab Alkharashi

“…By integrating optimized DCP, ALE, and the Minimum Fusion Technique, the approach achieves superior performance with a PSNR of 35.45 dB and an SSIM of 0.97, outperforming existing methods such as Scene-Specific DCP, TON, and FFA_NET. …”
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Optimizing irrigation and nitrogen fertilization for winter wheat using the AquaCrop model and water footprint analysis by JIA Yifan, WANG Hao, HAN Ce, XU Zhenghe, LIU Yuyu

“…This paper presents a method for optimizing irri-gation strategies for winter wheat production under varying nitrogen application rates in different hydrological years using the AquaCrop model. …”
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Optimization of Islamic Peer-to-Peer Lending for Micro and Small Enterprises (MSEs) After Pandemic of Covid-19 by Firsty Izzata Bella

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Optimal State Estimation in Underwater Vehicle Discrete-Continuous Measurements via Augmented Hybrid Kalman Filter by Vadim Kramar, Kirill Dementiev, Aleksey Kabanov

“…The paper discusses, in detail, the theoretical foundations of the proposed method, including the mathematical description of continuous and discrete models, and its optimality criterion formulation. …”
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Optimal Configuration Model of Photovoltaic and Energy Storage Joint System Considering Coordination of Multiple Transaction Scenarios by CHEN Kun, SHANG Long-long, LUO Jin-ge

“…The coordination and optimization in multiple scenarios brings new challenges to the power market transaction. …”
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Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations by Minh Thien Vo, Thi Lan Anh Tran, Quang Ai Nguyen, Trung Khanh Tran, Ngoc Dieu Vo

“…In this study, we propose a computational model to determine the optimal location and size of EVCS applying V2G technique in a distribution network integrating distributed generation sources (DG) with the goal of minimizing active power loss, using an improved method combining the firefly algorithm with the quantum-inspired evolutionary algorithm (QBFA) to find solutions for the problem. …”
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Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations by Minh Thien Vo, Thi Lan Anh Tran, Quang Ai Nguyen, Trung Khanh Tran, Ngoc Dieu Vo

“…In this study, we propose a computational model to determine the optimal location and size of EVCS applying V2G technique in a distribution network integrating distributed generation sources (DG) with the goal of minimizing active power loss, using an improved method combining the firefly algorithm with the quantum-inspired evolutionary algorithm (QBFA) to find solutions for the problem. …”
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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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A modified single-vector based FCS-MPC with delayed and suboptimal switching for VSI by Pengcheng Yang, Xiao Zeng, Qiuwei Wu, Hongda Cai, Yanghong Xia, Jing Li

“…Instead of switching directly to the optimal state at the start of the control period, the proposed method employs a delayed switching strategy to suppress total harmonic distortion (THD), which actually combines the previous state and the optimal state in one control period without additional switching action. …”
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Multi-Objective Optimization for Volt-Var Parameter Tuning: Reducing Losses and Voltage Unbalance in Distribution Systems by Arthur E. S. Ribeiro, Francisco C. R. Coelho, Wesley Peres

“…The proposed method jointly optimizes the active power output of dispatchable DG units and the Volt-Var control parameters of photovoltaic (PV) inverters to minimize power losses and voltage unbalance, ensuring compliance with the 2% limit set by Brazilian regulations. …”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…This method was compared with a standard scheduling approach, and an average improvement of 11.87% in fuel consumption was achieved. …”
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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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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

“…This systematic review evaluates the literature on TDABC use in plastic surgery to identify key cost drivers and propose strategies for cost-efficiency. Methods:. A systematic review was conducted on studies applying TDABC, activity-based costing, and cost-to-charge ratio in plastic surgery, sourced from PubMed. …”
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Optimization of Fiber Digestibility and Methane Reduction with Gambier Leaf Extract from Pangkalan for Sustainable Ruminant Farming by Roni Pazla, Asmuddin Natsir, Rahmad Hidayat, Nurzainah Ginting, Mardiati Zain, Antonius, Aslizah Mohd-Aris, Zaitul Ikhlas, M. Zhorif Hidayat

“…Ruminant livestock production plays an important role in providing animal protein sources, but faces major challenges in terms of feed utilization efficiency and environmental impact due to methane emissions. …”
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Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment by C. Labesh Kumar, Suresh Betam, Denis Pustokhin, E. Laxmi Lydia, Kanchan Bala, Rajanikanth Aluvalu, Bhawani Sankar Panigrahi

“…Abstract The Software Defined Networking (SDN) method has evolved to project future systems and collect novel application needs for several years. …”
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From archival research to the digitization of existing architectural heritage: methods and processes compared by Chiara Vernizzi, Virginia Droghetti

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Influence of homogenization methods on lichen species detection from environmental DNA metabarcoding by Ayumi Sakata, Toshifumi Minamoto, Tetsuya Sado, Ryo O. Gotoh, Masaki Miya

“…We previously developed a simple and efficient method for capturing arboreal biodiversity using stemflow as a source of eDNA; however, its performance with or without homogenization had not yet been compared. …”
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An Objective Evaluation Method for Image Sharpness Under Different Illumination Imaging Conditions by Huan He, Benchi Jiang, Chenyang Shi, Yuelin Lu, Yandan Lin

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DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…Cardio Vascular Diseases (CVDs) are one of the most prevalent causes of death in the world and require an appropriate early detection method that could satisfactorily integrate diversified patient data available in today's healthcare. …”
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