Optimal Reactive Power Dispatch Planning Considering Voltage Deviation Minimization in Power Systems by Orlando Álvarez, Diego Carrión, Manuel Jaramillo

“…One of the most important investments was to demonstrate that the proposed methodology reduces voltage deviation at the system nodes, effectively confirming and maintaining lower active and reactive power production losses, resulting in a new type of energy planning that effectively benefits the electrical system voltage.…”
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Modeling and analysis of tooth deviations for manufacturing gears using power skiving by GUO Erkuo, LIU Chang, LIU Shulong, YUAN Yayun

“…In order to address the issue of circular errors that occur on gear tooth surface in skiving, a method was proposed to minimize tooth deviations by optimizing the number of tool teeth.MethodsBy analyzing the causes of tooth deviations based on meshing theory for crossed helical gears and considering kinematic relation in gear skiving, a mathematical model incorporating tool eccentricity error was established. …”
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Asynchronous Coordinated Control Method for Regional Multi-Agent Integrated Energy Systems Considering Voltage Deviation by LU Bin, WANG Yixiao, PU Chuanqing, CHEN Yunhui, CHEN Bobo, FAN Feilong

“…Then, a multi-objective day-ahead dispatch model and a local dispatch model for each agent are proposed, aiming to minimize both the overall operating cost and the mean voltage deviation. …”
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Determination of the Experimental Minimal Formula of Metal‐Organic Frameworks by Jikson Pulparayil Mathew, Charlotte Simms, David E. Salazar Marcano, Evert Dhaene, Tatjana N. Parac‐Vogt, Jonathan De Roo

“…Although the determination of the MOF experimental minimal formula is often perceived as a complex and tedious task, the general methodology presented here is straightforward and involves very simple equations and procedures. …”
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An Integrated Bond Graph Methodology for Building Performance Simulation by Abdelatif Merabtine

“…Validation against experimental data reveals strong agreement between measured and simulated temperatures in heating and cooling scenarios, with minimal deviations. This confirms the method’s reliability and its capacity to capture transient thermal behaviors. …”
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Crash Frequency Minimization with Severity Mitigation in Road Geometric Design Using Chance Constraint Programming Optimization by Wei Li, Minjiao Zhang, Anuj Sharma

“…Its objective is to minimize crash frequency while simultaneously mitigating crash severity. …”
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A Simulated Annealing Methodology to Multiproduct Capacitated Facility Location with Stochastic Demand by Jin Qin, Hui Xiang, Yong Ye, Linglin Ni

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Optimal Allocation of Depots for Electric Bus Charging: Cost Minimization and Power System Impact Mitigation Using Mixed Integer Nonlinear Programming by Sama Elkholy, Mostafa F. Shaaban, Abdelfatah Ali, Tarnim Nos, Ahmed S. A. Awad

“…The main objective is to minimize the total cost, achieved by minimizing the cost of the new cables connecting the depot station to the distribution system and the upgrade cost of existing lines to meet the additional loads. …”
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Optimized placement and sizing of solar photovoltaic distributed generation using jellyfish search algorithm for enhanced power system performance by P Rajakumar, P. M. Balasubramaniam, E. Parimalasundar, K. Suresh, P. Aravind

“…The formulated multi-objective function incorporates real power loss (RPL) minimization, voltage deviation index (VDI) reduction, and voltage stability index (VSI) enhancement, employing a weighted sum approach (WSA) to ensure computational rigor. …”
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Methods for Assessing Neurodevelopmental Disorders in Mice: A Critical Review of Behavioral Tests and Methodological Considerations Searching to Improve Reliability by Boniface Echefu, Maria Becker, Dan Stein, Asher Ornoy

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A methodological framework for deriving the German food-based dietary guidelines 2024: Food groups, nutrient goals, and objective functions. by Anne Carolin Schäfer, Heiner Boeing, Rozenn Gazan, Johanna Conrad, Kurt Gedrich, Christina Breidenassel, Hans Hauner, Anja Kroke, Jakob Linseisen, Stefan Lorkowski, Ute Nöthlings, Margrit Richter, Lukas Schwingshackl, Florent Vieux, Bernhard Watzl

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Optimization of CNC End Milling Process Parameters of Low-Carbon Mold Steel Using Response Surface Methodology and Grey Relational Analysis by R. Suresh Kumar, S. Senthil Kumar, K. Murugan, B. Guruprasad, Sreekanth Manavalla, S. Madhu, M. Hariprabhu, S. Balamuralitharan, S. Venkatesa Prabhu

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Development and Validation of a Methodology for Predicting Fuel Consumption and Emissions Generated by Light Vehicles Based on Clustering of Instantaneous and Cumulative Vehicle Po... by Paúl Alejandro Montúfar Paz, Julio Cesar Cuisano

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A novel LSTPA methodology for managing energy in electrical/thermal microgrids through CHP, battery resources, thermal storage, and demand-side strategies by Elmira Akhavan Maroofi, Mahmoud Samiei Moghaddam, Azita Azarfar, Reza Davarzani, Mojtaba Vahedi

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A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Valid... by Yang Yang, Che-Yi Liao, Esmaeil Keyvanshokooh, Hui Shao, Mary Beth Weber, Francisco J Pasquel, Gian-Gabriel P Garcia

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Modelling of Peripheral Wood Milling Power Using Design of Experiment Approach by Miran Merhar, Aldin Bjelić, Atif Hodžić

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Optimization of thermal conductivity in coir fibre-reinforced PVC composites using advanced computational techniques by Saksham Anand, Venkatachalam Gopalan, Shenbaga Velu Pitchumani

“…Among the optimization methods, CSA emerges as the most effective, achieving a maximum thermal conductivity of 0.801 W/mK with minimal error deviation (0.01–5.5%) by the process parameters such as potassium hydroxide treatment, coir content of 2 wt% and powder diameter of 75 (µm). …”
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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

“…This methodology is compared against the hurricane optimization algorithm, the sine cosine algorithm, and the salp swarm optimization algorithm. …”
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A Didactic Approach to Kinetic Parameter Estimation: a Case Study of Glycerol Carbonate Synthesis from Glycerol and Dimethyl Carbonate by Juan Carlos Ojeda-Toro, Javier A. Mancera-Apolinar, Jaime Eduardo Arturo Calvache

“…This study introduces a didactic methodology for estimating kinetic parameters, it was designed as a practical guide for chemical engineering students, focusing on the synthesis of glycerol carbonate (GC) from glycerol (G) and dimethyl carbonate (DMC) as a case study. …”
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Development of a Calibration Procedure of the Additive Masked Stereolithography Method for Improving the Accuracy of Model Manufacturing by Paweł Turek, Anna Bazan, Paweł Kubik, Michał Chlost

“…The article presents a three-stage methodology for calibrating 3D printing using mSLA technology, aimed at improving dimensional accuracy and print repeatability. …”
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