AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network by Sunil Ankeshwarapu

“…These findings demonstrate AFCPOA’s superior ability to handle seasonal load variability and optimize RDG integration efficiently.…”
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Optimizing capacitor size and placement in radial distribution networks for maximum efficiency by R. Arunjothi, K.P. Meena

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Enhanced variable step sizes perturb and observe MPPT control to reduce energy loss in photovoltaic systems by Abdelkadir Belhadj Djilali, Elhadj Bounadja, Adil Yahdou, Habib Benbouhenni, Z. M. S. Elbarbary, Ilhami Colak, Saad F. Al-Gahtani

“…Abstract This study proposes a modified variable step-size perturb and observe (VSS-P&O) control to improve the efficiency of photovoltaic (PV) systems. …”
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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…This circumstance negatively affects processing time, critical for systems with high load requirements on the computing platform. In this regard, the use of digital filters which enable a reduction to the processing time of incoming data is important. …”
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Advanced thyristor-based cycloconverter for efficient three-phase conversion with low THD by Mahbubur Rahman Tahmid, Md. Abdul Malek, Md. Rafiul Islam, Muhammad Abdul Goffar Khan

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Two-Stage Distributionally Robust Optimal Scheduling for Integrated Energy Systems Considering Uncertainties in Renewable Generation and Loads by Keyong Hu, Qingqing Yang, Lei Lu, Yu Zhang, Shuifa Sun, Ben Wang

“…In modeling uncertainties, this article utilizes historical data on PV, WT, and loads, combined with the adjustability of decision variables, to generate a large set of initial scenarios through the Monte Carlo (MC) sampling algorithm. …”
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Development of a power recovery-based dynamic loading system for full-size drill rods in coal mines by Jing ZHANG, Jie WANG

“…This suggests an effective reduction of the installed power of the dynamic loading system. …”
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Restoration of a functional antiviral immune response to chronic HBV infection by reducing viral antigen load: if not sufficient, is it necessary? by Sisi Yang, Wanjia Zeng, Jiming Zhang, Fengmin Lu, Jinhong Chang, Ju-Tao Guo

“…The prolonged viral antigen stimulation is the driving force for the development of immune tolerance to chronic hepatitis B virus (HBV) infection. The sustained reduction of viral proteins may allow for the recovery and efficient activation of HBV-specific T and B cells by immune-stimulating agents, checkpoint blockades and/or therapeutic vaccinations. …”
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Variability of Material Solutions for the Perimeter Walls of Buildings in Post-Industrial Settlements as Part of Energy Rehabilitation and Achieving Carbon Neutrality by Hamed Afsoosbiria, Darja Kubečková, Oskar Kambole Musenda, Khaled Mohamed

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Adaptive non-parametric kernel density estimation for under-frequency load shedding with electric vehicles and renewable power uncertainty by Feng Renhai, Wajid Khan, Afshan Tariq, Muhammad Abbas, Muhammad Zain Yousaf, Abdul Aziz, Mohit Bajaj, Mustafa Abdullah, Milkias Tuka

“…Our extensive MATLAB/SIMULINK simulations on an upgraded IEEE 39 bus test system demonstrate a significant reduction in load shedding requirements. Compared to traditional AUFLS methods, our approach cuts load shedding by over 50%, effectively maintains system frequency within safe operational limits, and shows superior performance in scenarios of high renewable variability and EV integration. …”
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Topological optimization design of SLM additive manufactured unmanned aerial vehicle bearing joint structure based on variable density method by Shuaichao YUAN, Jianfeng WANG, Yuhang DUAN, Lujing HAO, Xiaohong ZHAN

“…To address the need for weight reduction in a large unmanned aerial vehicle (UAV) fuselage, this study focused on the load-bearing joint structure manufactured through selective laser melting (SLM). …”
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Estimation of microbial load in Ganoderma lucidum using a solar-electric hybrid dryer enhanced by machine learning and IoT by Pinit Nuangpirom, Siwasit Pitjamit, Weerin Pheerathamrongrat, Wasawat Nakkiew, Parida Jewpanya

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PRINCIPLES OF EFFICIENCY ESTIMATION TECHNIQUE OF MACHINE-PROCESS UNITS BASED ON THE FIFTH-GENERATION MOBILE UTILITIES by Edward Iosifovich Lipkovich, Vladimir Vladimirovich Shchirov

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A Win-Win Coordinated Scheduling Strategy Between Flexible Load Resource Operators and Smart Grid in 5G Era by Nan Zhang, Di Liu, Tianbao Liu, Xueyan Zhang, Jing Guo, Fusheng Lan, Qingyao Li, Weiyi Lu, Xiaolong Yang

“…Building on this foundation, dormancy and load transfer strategies are introduced to model the scheduling potential for regional energy storage, enabling more efficient utilization of available resources. …”
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The Impact of Blade Surface Roughness on Wind Turbine Efficiency: A Monte Carlo Method Approach by Dariush Biazar, Amard Afzalian

“…In this study, a Monte Carlo simulation is employed to analyze the effects of surface roughness on key variables, including the power coefficient, rotor torque, generator speed, and blade pitch angle in two distinct operating regions: partial load and full load. …”
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Effects of electron beam irradiation on microbial loads, physicochemical properties, stability of active ingredients, and antioxidant activity in Angelica sinensis Radix by Yunxia Hu, Haijun Wang, Zhijun Xin, Wensheng Gou, Zhuanzi Wang, Xiao Liu, Xihong Lu, Aimei Yang, Xuehu Li, Libin Zhou

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Optimizing Energy Efficiency and Light Transmission in Greenhouses Using Rotating Low-Emissivity-Coated Envelopes by Subin Song, JungHo Jeon, Seonghwan Yoon

“…The thermal performance of the envelope was designated as independent variables to quantify its impact on heating and cooling loads. …”
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Maximizing Wind Turbine Power Generation Through Adaptive Fuzzy Logic Control for Optimal Efficiency and Performance by Ali Aranizadeh, Mirpouya Mirmozaffari, Behnam Khalatabadi Farahani

“…Wind power output fluctuations, driven by variable wind speeds, create significant challenges for grid stability and the efficient use of wind turbines, particularly in high-wind-penetration areas. …”
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Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm by Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah

“…Further research can include the use of time series of efficient variables extracted from satellite images (e.g. land cover, river morphology, etc.) as model inputs.Highlights Improvement of SL estimation by coupling MPA with XGB modelUsing delayed combinations of streamflow and sediment concentration as model inputsSuperiority of MPA compare to PSO and GWO in SL estimationGreater variations in SHAP caused by sediment concentration compared to streamflowFurther studies required on the effects of hydrological and topographical features…”
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A Mixed-Integer Convex Optimization Framework for Cost-Effective Conductor Selection in Radial Distribution Networks While Considering Load and Renewable Variations by Oscar Danilo Montoya, Oscar David Florez-Cediel, Luis Fernando Grisales-Noreña, Walter Gil-González, Diego Armando Giral-Ramírez

“…The MI-Convex method demonstrated consistent and repeatable results, in contrast to the variability observed in heuristic techniques. Further analyses considering three-period and daily load profiles led to cost reductions of up to 27.6%, and incorporating distributed renewable generation into the 85-bus system achieved a total cost of $705,197.06—approximately 22.97% lower than under peak-load planning. …”
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