Aggregator Design for Optimal Management of Charging and Discharging of Electric Vehicles in the Smart Grid Context by Reza Eslami

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Optimal Power Procurement for Green Cellular Wireless Networks Under Uncertainty and Chance Constraints by Nadhir Ben Rached, Shyam Mohan Subbiah Pillai, Raúl Tempone

“…The numerical solution procedure includes an efficient upwind finite-difference solver for the Hamilton–Jacobi–Bellman equation corresponding to the relaxed problem, and an effective combination of the limited memory bundle method (LMBM) for handling nonsmooth optimization and the stochastic subgradient method (SSM) to navigate the stochasticity of the dual problem. …”
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Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

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Fermented Deproteinized Alfalfa Juice Modified with Fly Ash Filtrate as an Alternative Nutrient Source for Winter Wheat (<i>Triticum aestivum</i> L.) by Péter Makleit, Andrea Kovács Balláné, Nóra Bákonyi, Éva Domokos-Szabolcsy, Gábor Miklós Fári, Szilvia Veres

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Selecting Energy-Efficient LED Retrofits with Optimal Color Qualities for New and Refurbished Buildings by Irena Fryc, Maciej Listowski, Robert Supronowicz, Christophe Martinsons

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Parameter Estimation for Coupled Hydromechanical Simulation of Dynamic Compaction Based on Pareto Multiobjective Optimization by Wei Wang, Lu-Lu Zhang, Jin-Jian Chen, Jian-Hua Wang

“…This paper presented a parameter estimation method based on a coupled hydromechanical model of dynamic compaction and the Pareto multiobjective optimization technique. …”
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The Effect of Inventory Appraisal and Revaluation of State Property on the Optimization of Non-Tax State Revenue by E. Yanti, D. Susetyo, Yu. Saftiana

“…They used questionnaires as primary data sources. The data analysis tools used was the method of multiple regression with SPPS statistics version 20.00. …”
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Numerical Study of Integrating Thermal Insulation Local Bio-Sourced Materials into Walls and Roofs for Thermal Comfort Improvement in Buildings in a Tropical Climate by Kokou Dowou, Yawovi Nougbléga, Kokou Aménuvéla Toka, Komi Apélété Amou

“…Thermal insulation is a reliable strategy for achieving optimal thermal comfort in built environments and is among the most effective energy-saving measures. …”
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Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions by Majid Hosseina, Mahmoud Samiei Moghaddam, Amir Hassannia

“…The results demonstrate that the proposed framework achieves a 60% reduction in voltage deviation, an 81% decrease in energy losses, and an 86% reduction in CO₂ emissions, while ensuring zero load curtailment, even under severe outage conditions. The proposed method offers a scalable, real-time implementable solution for microgrid operators seeking to enhance resilience against renewable energy intermittency and optimize energy utilization. …”
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Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems by Dao Huy Tuan, Dao Trong Tran, Van Nguyen Ngoc Thanh, Van Van Huynh

“…The results demonstrate significant improvements in frequency stabilization, reduced oscillations and enhanced steady-state accuracy compared to traditional optimization techniques. This study emphasizes the scalability and adaptability of the proposed method to changing load conditions and complexity of the MPSs, providing a potential solution to ensure stability and reliability for the MPSs.…”
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A hybrid modeling framework for groundwater contamination risk: Optimized AHP-DRASTIC and BME by Muyuan Lu, Yuan Liu, Guijian Liu, Guanyu Wang, Yongli Li, Peiwei Sun

“…The Bayesian Maximum Entropy (BME) method was used to generate trend forecasts of potential contamination risks, effectively identifying high-risk zones, with areas of relatively high contamination risk accounting for over 15 %. …”
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Integrating optimal terrain representations from public DEMs using spaceborne LiDAR by Xingang Zhang, Shanchuan Guo, Haowei Mu, Bo Yuan, Zilong Xia, Xiaoquan Pan, Hong Fang, Pengfei Tang, Peijun Du

“…Due to differences in data sources and processing methods, the accuracy of Digital Elevation Models (DEMs) varies greatly in different regions, which poses challenges for users in data selection. …”
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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

“…Secondly, to address variations in data modalities, distributions, and quality across clients, by considering all client factors rather than treating clients as independent, five innovative evaluation metrics are designed to assess the convergence and generalization performance of the local models. Finally, a Pareto-optimized client selection method is introduced to efficiently select reliable clients for global aggregation, ensuring both the stability and robustness of the global model. …”
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Impact of Shared Bus on Campus Travel and Space Optimization Based on Activity Travel Behavior by Qiong Chen, Hong Zhang, Jianbiao Wang, Hongyu Ye, Zhaoming Chu, Bixia Lou, Dawei Li

“…Finally, according to the analysis of modeling results, the impact of shared traffic on campus travel is analyzed, and the optimal design scheme of campus space is given. This paper uses the survey method based on declarative preference SP and the survey method based on explicit preference (RP) to get the actual and hypothetical travel response of travelers, which improves the data richness.…”
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Robust Optimization for Microgrid Management With Compensator, EV, Storage, Demand Response, and Renewable Integration by Hamid Hematian, Mohamad Tolou Askari, Meysam Amir Ahmadi, Mahmood Sameemoqadam, Majid Babaei Nik

“…The model primarily addresses challenges arising from the integration of power electronics-based generation units, the unpredictable nature of demand in microgrids, and the integration of small-scale renewable energy sources. The proposed model includes detailed formulations for MG energy management, covering optimal battery usage, efficient EV energy management, compensator usage, and strategic dispatching of DG resources. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
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Geospatial parametric approach for identifying optimal sites for wind-solar hybrid energy systems by Nyange Augustine Mbufua, Pascalin Tiam Kapen, François Ngapgue, Armand Nzeukou Takougang

“…The hybridization of renewable energy sources has proven to be an innovative technological approach to ensuring energy supply in certain regions of the world. …”
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Strategy To Increase Fee-Based Income Through Optimizing Sukuk Sales To Priority Customers by Rr Nugraheni Putri Indrayanti, Nurhidayah Nurhidayah, Harun Alrasyid

“…Using a qualitative approach with the SWOT analysis method. The results of this study indicate that optimization of sukuk sales has a significant contribution to increasing Fee Based Income (FBI) at Bank Syariah Indonesia (BSI), especially in the priority customer segment in the Malang Area. …”
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A novel framework for optimizing residential load response planning with consideration of user satisfaction by Mohammad Hossein Erfani Majd, Gholam-Reza Kamyab, Saeed Balochian

“…The primary objective is to minimize electricity costs while ensuring efficient use of renewable energy resources. The proposed method utilizes the Meerkat Optimization Algorithm (MOA), which is compared against other optimization algorithms, including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Teaching-Learning-Based Optimization (TLBO). …”
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Fast Physical Random Bit Generation Based on a Broadband Chaotic Entropy Source Originated From a Filtered Feedback WRC-FPLD by Xi Tang, Guang-Qiong Xia, Can Ran, Tao Deng, Xiao-Dong Lin, Li Fan, Zi-Ye Gao, Gong-Ru Lin, Zheng-Mao Wu

“…Finally, by utilizing multi-bit post-processing method, PRBs is generated at a rate up to 240 Gbits&#x002F;s, which can pass all the 15 NIST statistics tests and meet the strict criteria of the statistical bias and the serial correlation coefficient.…”
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