Assessing the effectiveness of time-of-use pricing design: Provincial evidence from China by Gang Lu, Bo Yuan, Shibo Zhou, Lanyi Wei, Zhaoyuan Wu

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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

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Optimizing Renewable Strategies for Emission Reduction Through Robotic Process Automation in Smart Grid Management by Jiuyu Guo, Bin Chen, Zeke Li, Bijing Liu, Wei Wu, Junjie Yang

“…To address these complexities, it is vital to optimally coordinate flexible resources from source–network–storage–load (SNSL) in a manner that aligns with cross-sectoral emission reduction strategies while enhancing grid stability and efficiency. …”
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Mitigating Load Imbalance and Enhancing Distribution Transformer Performance via Fuzzy Inference System by Althoff Hibban, Azriyenni Azhari Zakri, Dirman Hanafi, Boy Ihsan, Umair Ali

“…The output variable is defined as corrective current adjustments for inter-phase load redistribution. …”
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An Ensemble Model of Attention-Enhanced N-BEATS and XGBoost for District Heating Load Forecasting by Shaohua Yu, Xiaole Yang, Hengrui Ye, Daogui Tang, Hamidreza Arasteh, Josep M. Guerrero

“…Accurate heat load forecasting is essential for the efficiency of District Heating Systems (DHS). …”
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The Design and Analysis of a Lightweight Robotic Arm Based on a Load-Adaptive Hoisting Mechanism by Ruchao Wang, Zhiguo Lu, Yiru Wang, Zhongqing Li

“…This paper presents the design and control of a lightweight three degrees of freedom robotic arm based on a load-adaptive hoisting mechanism. The proposed design integrates a spring-loaded rope and a variable radius reel into the gripper, enabling efficient load adaptability with minimal structural complexity. …”
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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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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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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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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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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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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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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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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

“…This study begins by quantifying the dispatch potential of 5G base stations through a detailed analysis of their load dynamics, particularly under tidal fluctuations, which are critical for understanding the temporal variability of energy consumption. …”
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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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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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