Assimilating water level observations with the ensemble optimal interpolation scheme into a rainfall‐runoff‐inundation model: A repository‐based dynamic covariance matrix generatio... by Manoj Khaniya, Yasuto Tachikawa, Takahiro Sayama

“…In such cases, the ensemble optimal interpolation scheme (EnOI), which works on a single model run instead of ensemble evolution, may offer a sub‐optimal alternative. …”
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Analysis of Power Enhancement in Facade-BIPV Systems Through Module-Level Power Optimizer: Evaluating Performance Under Shading Conditions by Jiyoung Eum, Hyun-Jung Choi

“…The performance of BIPV systems was evaluated without a power optimizer, with a conventional power optimizer, and with the new prototype power optimizer through simulations and experiments under different shading conditions. …”
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Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system by Shiyuan Chen, Shunjiang Lin, Yuerong Yang, Kaiyun Jiang, Mingbo Liu

“…This study introduces an optimal power flow model to evaluate the transfer capability of a renewable generation base transmitted by voltage source converter based high voltage direct current system. …”
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Advantages of digital twin technology in orthopedic trauma Surgery – Exploring different clinical use cases by Annchristin Andres, Michael Roland, Kerstin Wickert, Stefan Diebels, Johannes Stöckl, Stefan Herrmann, Frank Reinauer, Ralf Leibinger, Atanas Pavlov, Lutz Schuppener, Daniel Schäfer, Tina Histing, Benedikt J. Braun

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Analysis and Optimization of Output Low-Pass Filter for Current-Source Single-Phase Grid-Connected PV Inverters by Gurhan Ertasgin, David M. Whaley

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Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Vo... by Pramod Kumar, Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Divya Anand, Aman Singh, Juan Luis Vidal Mazon, Fahd S. Alharithi

“…It is established that the proposed GOMOHSA finds the optimal deployment of optimally sized RE generators, and the investment cost of deployment of these RE generators can be recovered within a time period that is less than 5 years. …”
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Optimal design strategy of traditional courtyard based on performance and data-driven method—A case study of Yanshen ancient town, China by Zhixin Xu, Xin Zheng, Xiangfeng Li

“…To address the insufficient integration of performance evaluation and contextual analysis in traditional architectural design, this paper proposes a design workflow that combines data-driven and performance-driven approaches, establishing a comprehensive operational pathway from typology selection and design generation to performance assessment. …”
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Evaluation of different factor assignment methods for slope unit-based landslide susceptibility assessment: a case study in Fengjie County, China by Hongjuan Yang, Shaojie Zhang, Kaiheng Hu, Yifan Jia, Xiuying Wang, Jianyang Song, Hua Tian

“…To address this issue, a machine learning-based evaluation was performed to determine optimal factor assignment methods. …”
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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

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Systematic Evaluation of Chromatographic Parameters for Isoquinoline Alkaloids on XB-C18 Core-Shell Column Using Different Mobile Phase Compositions by Ireneusz Sowa, Sylwia Zielińska, Jan Sawicki, Anna Bogucka-Kocka, Michał Staniak, Ewa Bartusiak-Szcześniak, Maja Podolska-Fajks, Ryszard Kocjan, Magdalena Wójciak-Kosior

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A novel Wasserstein generative adversarial network for stochastic wind power output scenario generation by Xiurong Zhang, Daoliang Li, Xueqian Fu

“…WGAN is optimized to simulate ideal wind power scenarios. The generated data are measured by cumulative distribution function (CDF) and continuously ranked probability score to evaluate the performance of the proposed model. …”
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Enzyme inclusion or fermentation of canola-based diets generate different responses in growth indicators, carcass quality, nutrient digestibility, bone strength, and blood biochemi... by A. Hafeez, W. Akram, H. Al-Khalaifah, S. Naz, R. U. Khan, V. Tufarelli, I. A. Alhidary

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Regression Analysis of Triply Periodic Minimal Surface (TPMS) Models to Achieve Multi-Objective Optimization by Fatema Tuz Zohra, Bahram Asiabanpour

“…Five TPMS types (Gyroid, Diamond, Lidinoid, SplitP, and Schwartz) were evaluated using thermal simulations in nTop, and a regression-based predictive model was developed to assess the impact of lattice thickness and cell size on surface area to volume ratio (SA/V_S) and temperature difference (ΔT). …”
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Evaluation of the life cycle sustainability of a wastewater treatment plant using the eco-efficiency index for optimizing the energy-economy-environment nexus by Sadegh Alizadeh, Michael Carbajales-Dale

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Performance evaluation of an optimized simplified nonlinear active disturbance rejection controller for rotor current control of DFIG-based wind energy system by Ahmed Sobhy, Medhat Hegazy Elfar, Ahmed Refaat, Mahmoud Fawzi

“…The SNADR controller's performance is evaluated against traditional PI and linear active disturbance rejection (LADR) controllers through MATLAB simulations under different operating conditions. …”
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Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle by Mina GhasemiGarpachi, Moslem Dehghani, Mokhtar Aly, Jose Rodriguez

“…The suggested method is considered under various scenarios, such as different ESS volumes and various charging/discharging rates, with and without PHEV participation in single and multi-objective optimization. …”
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Evolution of outcrossing in experimental populations of Caenorhabditis elegans. by Henrique Teotonio, Sara Carvalho, Diogo Manoel, Miguel Roque, Ivo M Chelo

“…For this, we contrasted the evolution of a fitness component exclusive to outcrossing in experimental populations of different mating systems. …”
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Synthetic Ensemble Forecasts: Operations‐Based Evaluation and Inter‐Model Comparison for Reservoir Systems Across California by Zachary P. Brodeur, William Taylor, Jonathan D. Herman, Scott Steinschneider

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Development of Chiller Plant Models in OpenAI Gym Environment for Evaluating Reinforcement Learning Algorithms by Xiangrui Wang, Qilin Zhang, Zhihua Chen, Jingjing Yang, Yixing Chen

“…This paper develops chiller plant models in OpenAI Gym environments to evaluate different RL algorithms for optimizing condenser water loop control. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…It is challenging to find the best PEMFC parameters because the model is complex and the problem is nonlinear; not all optimization algorithms can solve this problem. This paper presents a new approach that applies QUasi-Affine TRansformation Evolution algorithm with a new adaptation of Evolution Matrix and Selection operation (QUATRE-EMS) to determine optimal values of uncertain parameters in PEMFC stack references. …”
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