Optimal Scheduling of Microgrids Based on an Improved Dung Beetle Optimization Algorithm by Yuntao Yue, Haoran Ren, Dong Liu, Lenian Zhang

“…The modeling demand response is determined via a price–demand elasticity matrix, whereas the uncertainty of wind and solar power is established using Monte Carlo sampling and a K-means clustering algorithm. …”
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COG 11.3 New Features by Heinrichs David, Lent Edward, Lee Chuck

“…COG is a high fidelity, multi-particle, Monte Carlo radiation transport code in development at LLNL since 1980 in support of multiple applications including nuclear criticality safety, radiation shielding, radiography, and subcritical multiplicity analysis. …”
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Large-Scale MIMO Transmitters for CR-NOMA in Fixed Physical Space: The Effect of Realistic System Impairments Using Stochastic Geometry by Emmanuel Ampoma Affum, Samuel Tweneboah-Koduah, Owusu Agyeman Antwi, Benjamin Asubam Weyori, Willie Ofosu

“…To reduce computing demands, we offer a novel concept of using the physical dimensions of the array to derive the location vector of the antenna element. Using Monte Carlo simulation, near and far users' BER performances deteriorate for AF and DF at 15 dB and 5 dB or below, respectively. …”
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Endoatmospheric Ascent Optimal Guidance with Analytical Nonlinear Trajectory Prediction by Shilei Zhao, Wanchun Chen, Liang Yang

“…Nominal simulations, Monte Carlo simulations, and optimality verification are carried out to test the performance of the proposed guidance law. …”
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A Method for Calculating Atmospheric Radiation Produced by Relativistic Electron Precipitation by Wei Xu, Robert A. Marshall, W. Kent Tobiska

“…In this study, using a suite of physics‐based Monte Carlo models, we characterize the effective radiation dose produced at altitudes between ground and low‐Earth‐orbit by relativistic precipitation electrons with energies between 100 keV and 10 MeV. …”
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Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band by Christian Forsch, Peter Zillmann, Osama Alrabadi, Stefan Brueck, Wolfgang Gerstacker

“…We confirm our analytical results by Monte Carlo simulations. Both a pure line-of-sight (LoS) and a more realistically modeled indoor THz channel are considered. …”
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Uncertainty Quantification for a Hydraulic Fracture Geometry: Application to Woodford Shale Data by Batoul M. Gisler

“…The proposed framework uses Monte-Carlo-based statistical methods and is comprised of two parts: sensitivity analysis and the probability density functions. …”
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Rekonfiguracija distributivne mreže i otočna kompenzacija uz prisustvo vetro generatora by Branko Stojanović, Tomislav Rajić

“…Isto važi i za kondenzatorske baterije što je nerealistično. Monte Carlo grafičkom metodom biraju se najčešće posećeni čvorovi za permanentan rad vetro generatora i uključenje kondenzatorskih baterija. …”
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Bayesian Approach to Equipartition Estimation of Magnetic Field Strength by Adam A. Zychowicz, Krzysztof T. Chyży

“…In the examples presented, we used two different Markov Chain Monte Carlo methods to generate the posterior distribution of the magnetic field. …”
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Assessment on the Current and Future Performance of Addis Ababa Light Rail Transit Service Using Mathematical Modeling by Getu Debebe, Belachew Asteray

“…Using a combination of queuing theory and Monte Carlo simulation approach, the study used case study research methodology by taking the most congested metro station in both corridors and directions of AALRT at peak hours. …”
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Space Weather Environment During the SpaceX Starlink Satellite Loss in February 2022 by Tzu‐Wei Fang, Adam Kubaryk, David Goldstein, Zhuxiao Li, Tim Fuller‐Rowell, George Millward, Howard J. Singer, Robert Steenburgh, Solomon Westerman, Erik Babcock

“…Simulation results suggest that during the geomagnetic storm, pre‐launch Monte Carlo analyses performed by the Starlink team using empirical neutral density inputs from NRLMSISE‐00 tended to underestimate the impact relative to predictions from the operational coupled Whole Atmosphere Model and Ionosphere Plasmasphere Electrodynamics physics‐based model. …”
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Forest Fire Clustering: A Novel Tool for Identifying Star Members of Clusters by Xingyin Wei, Jing Chen, Su Zhang, Feilong He, Yunbo Zhao, Xuran He, Yongjie Fang, Xinhao Chen, Hao Yang

“…FFC combines iterative label propagation with parallel Monte Carlo simulation to achieve internal validation of clustering results. …”
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Probabilistic Optimal Active and Reactive Power Dispatch including Load and Wind Uncertainties considering Correlation by Mahmmadsufiyan Shaik, Dattatraya N. Gaonkar, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Baseem Khan

“…The results are compared with Monte Carlo simulation (MCS). While solving POARPD, the voltage-dependent load model is used to account for the real-time voltage dependency of power system loads. …”
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Performance Analysis of RIS-Assisted Smart Grid Wide Area Network With RF Energy Harvesting by Kandi Veera Venkata Ramana, Hemanta Kumar Sahu

“…The derived analytical results are validated through Monte Carlo simulations. This work highlights the potential of RIS and EH technologies to improve energy efficiency and reliability in future SG networks.…”
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Radiative properties and QPOs around charged black hole in Kalb–Ramond gravity by Shokhzod Jumaniyozov, Muhammad Zahid, Mirzabek Alloqulov, Inomjon Ibragimov, Javlon Rayimbaev, Sardor Murodov

“…We also obtain constrain values for the black hole mass, charge, KR field parameter, and QPO orbits found using Markovian chain Monte Carlo (MCMC) simulations for stellar mass (XTE J1550, GRS 1915+105), intermediate mass (M82-X1), and supermassive black holes (Sgr A*). …”
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An Analytical Method for Calculating Short-Term Space Interception Probability by Wenzhe Ding, Xinhong Li, Hong Yang, Zhibin Zhang, Jiping An

“…For small unguided space interceptors, the interception probability is an important index to evaluate their strike capability. However, the Monte Carlo (MC) based simulation method not only consumes a lot of computation time but also theoretically lacks interpretability. …”
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An Innovative Approach to Estimate Chloride Diffusion Coefficient in Submerged Concrete Structures Using Soft Computing by Seyyed Ali Habibi, Ali Hemmati, Hosein Naderpour

“…In this article, using the Monte Carlo sampling method and the formulas available for chloride diffusion coefficient, we produced 2000 artificial data samples. …”
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Relay-Aided Uplink NOMA Under Non-Orthogonal CCI and Imperfect SIC in 6G Networks by Volkan Ozduran, Nikolaos Nomikos, Ehsan Soleimani-Nasab, Imran Shafique Ansari, Panagiotis Trakadas

“…Our analytical findings are verified through Monte-Carlo simulations, revealing that non-orthogonal CCI degrades the system performance, causing system coding gain losses. …”
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Probabilistic Power Flow Analysis of DERs Integrated Power System From a Bayesian Parameter Estimation Perspective by Wanjoli, Paul, Moustafa, Mohamed M.Zakaria, Abbasy, Nabil H.

“…Simulation results demonstrate superior accuracy of BPE, yielding voltage profiles and congestion indices closely matching those of Monte Carlo Simulation (MCS) but with lower computation time. …”
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COVID-19: Metaheuristic Optimization-Based Forecast Method on Time-Dependent Bootstrapped Data by Livio Fenga, Carlo Del Castello

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