A Hybrid Renewable Sources Implementation for a DC Microgrid with Flatness-Nonlinear Control to Achieve Efficient Energy Management Strategy by Furqan A. Abbas, Adel A.Obed, Ammar Alhasiri, Salam J. Yaqoob

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Techno-economic optimization of hybrid renewable systems for sustainable energy solutions by Kanaga Bharathi N, Manoharan Abirami, Devi Vighneshwari, Manoharan Hariprasath

“…The proposed hybrid system achieves 78.5% energy efficiency and 64.3% exergy efficiency, and this is good. …”
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Policy Model for Sharing Network Slices in 5G Core Network by Mohammad Ali Hammoudeh

“…In this paper, we propose a model to demonstrate network resource allocation system that forms devoted network slices to serve particular types of services independently on shared infrastructure. This model solves the problem of creating a strategy to form multi-service core mobile communication network slices, which allow the providing of a wide scope of services with certain quality indicators according to the effective dynamic configuration of the system. …”
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Robust QoT Assured Resource Allocation in Shared Backup Path Protection Based EONs by Venkatesh Chebolu, Sadananda Behera, Goutam Das

“…In this paper, we consider the problem of designing shared backup path protection (SBPP) based EON that facilitates the minimum quality-of-transmission (QoT) assured allocation against physical layer impairments (PLIs) under any single link/shared risk link group (SRLG) failure for static and dynamic traffic scenarios. …”
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Optimization of the Operation of Groundwater Intakes Using Two-Column Wells by V. V. Ivashechkin, J. A. Medvedeva

“…As a result of calculations; it was found that when combining the operation of pumps of two-column wells during periods of peak; main and partial loads; the annual energy savings will amount to 33 %.…”
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Research on pricing strategy of shared electro-thermal-hydrogen energy storage in integrated energy multi-microgrid based on hybrid game by Huan Zhou, Jie Wei

“…Against the backdrop of high investment costs in distributed energy storage systems, this paper proposes a bi-level energy management model based on shared multi-type energy storage to enhance system economics and resource utilization efficiency. …”
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AI-Based Load Balancing Using Decision Tree Regressor for Parallel Matrix Computation in Cloud Environments by Lina Sarkawt Hiwa, Zryan Najat Rashid

“… Cloud computing is an evolving technology of current information systems that supports dynamic sharing and elastic provision of resources and services. …”
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Numerical analysis on the thermal load and NO emission of a novel 1 MW pyrolysis gas/natural gas-fired industrial burner by Dávid Csemány, Dániel Füzesi, Viktor Józsa

“…Climate neutrality mandates efficient waste management and the energy use of non-reusable and non-recyclable waste types. …”
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Advanced Control Strategies for Managing Circulating Currents in Islanded Microgrid Inverters by Nurul Husna Abd Wahab, Mohd Hafizuddin Mat, Norezmi Md Jamal, Nur Hidayah Ramli

“…This improvement leads to a substantial reduction in power losses and enhances the dynamic response under varying load conditions. Additionally, the strategy improves voltage and frequency regulation, contributing to the overall stability and reliability of the microgrid. …”
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Study on the Influence of Floating Sun Gear on the Dynamic Characteristic of Planetary Gear Transmission System by Zhanli Yang, Yinghui Liu, Jirui Zhu, Feiyue Wang, Dong Zhen, Huibo Zhang

“…Planetary gearboxes are widely used in mechanical transmission systems due to their large transmission ratio and high transmission efficiency. In a planetary gearbox， the sun gear is usually set to float to balance the sharing of loads among planet gears. …”
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Methodology of optimal distribution of single-phase electric consumers in power supply systems by the criterion of reduction of additional losses caused by load asymmetry and non-s... by A. A. Pesterev, S. S. Kostinskiy, N. D. Narakidze

“…The efficiency of the developed methodology application at the stage of power supply systems design with the traditionally used approach has been estimated by comparing the values of additional power losses during the distribution of single-phase electric consumers in static mode (39,9 % more efficient) and in dynamic mode (77,1 % more efficient).Conclusion. …”
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Enhancing microgrid forecasting accuracy with SAQ-MTCLSTM: A self-adjusting quantized multi-task ConvLSTM for optimized solar power and load demand predictions by Ehtisham Lodhi, Nadia Dahmani, Syed Muhammad Salman Bukhari, Sujan Gyawali, Sanjog Thapa, Lin Qiu, Muhammad Hamza Zafar, Naureen Akhtar

“…Traditional methods often struggle with data scarcity, limitations in capturing intricate temporal dynamics, and lack of scalability. This research introduces a novel multi-task learning (MTL) model, the Self-Aware Quantized Multi-Task ConvLSTM (SAQ-MTCLSTM), which addresses these challenges by jointly forecasting solar power and load demand while leveraging shared representations across these interdependent time series. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…This multirobot architecture is adaptable, allowing configuration of team size for collaborative tasks based on load requirements and environmental complexity. By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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CD81-guided heterologous EVs present heterogeneous interactions with breast cancer cells by Elena Gurrieri, Giulia Carradori, Michela Roccuzzo, Michael Pancher, Daniele Peroni, Romina Belli, Caterina Trevisan, Michela Notarangelo, Wen-Qiu Huang, Agata S. A. Carreira, Alessandro Quattrone, Guido Jenster, Timo L. M. Ten Hagen, Vito Giuseppe D’Agostino

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Assessment of the Impact of the Adverse Economic Geopolitical Environment on the Worth of Russian Oil and Gas Companies by V. S. Lipatnikov, K. A. Kirsanova

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A Novel Neural Network-Based Droop Control Strategy for Single-Phase Power Converters by Saad Belgana, Handy Fortin-Blanchette

“…Managing parallel−connected single−phase distributed generators in low−voltage microgrids is challenging due to the volatility of renewable energy sources and fluctuating load demands. Traditional droop control struggles to maintain precise power sharing under dynamic conditions and varying line impedances, leading to inefficiency. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Advanced deep learning algorithms play a key role in optimizing energy usage in smart cities, leveraging massive datasets to increase efficiency and sustainability. These algorithms analyze real-time data from sensors and IoT devices to predict energy demand, enabling dynamic load balancing and reducing waste. …”
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A Hybrid PV/Fuel Cell–Fed Multiport DC-DC Converter for Water Irrigation Application by Sivaram N. V., Lavanya A., Jagabar Sathik Mohamed Ali, Divya Navamani J.

“…Thus, the proposed converter achieves high gain, high efficiency of 96%, and faster dynamic response.…”
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A seamless start-up for a hybrid uninterruptible power supply based on a diesel generator and supercapacitor energy storage by Ahmad M.A. Malkawi, Mohammed I. Alawneh, Ahmad Bashaireh

“…Diesel generator-based systems commonly provide uninterruptible power supplies for critical loads. However, their slow dynamic behavior, particularly during start-up, can cause delays in power supply. …”
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Anonymous Cluster-Based MANETs with Threshold Signature by YoHan Park, YoungHo Park, SangJae Moon

“…According to our protocol analysis, our proposal satisfies most properties for an anonymous security system and effectively copes with dynamic environments with greater efficiency by using secret sharing schemes. …”
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