Showing 1 - 15 results of 15 for search 'Distributed generation boosting capacity', query time: 0.10s Refine Results
  1. 1

    Internet of Things and Distributed Computing Systems in Business Models by Albérico Travassos Rosário, Ricardo Raimundo

    Published 2024-10-01
    “…The integration of the Internet of Things (IoT) and Distributed Computing Systems (DCS) is transforming business models across industries. …”
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    Article
  2. 2

    Analysis of 5G Capacity in Line-Of-Sight Condition of Urban Macro (UMa) Using 3.5 GHz Frequency by Muhammad Yaser

    Published 2024-08-01
    “…A high frequency reuse factor increases bandwidth efficiency and yields more optimum capacity. Furthermore, distributing users near the base station will boost capacity.…”
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    Article
  3. 3

    All-electrical recursive generation and time-domain mode division multiplexing of Hermite–Gaussian pulses for optical, THz and RF links by Xiaonan Yu, Janosch Meier, Paulomi Mandal, Mohamed I. Hosni, Abhinand Venugopalan, Lingfei Wang, Thomas Schneider

    Published 2025-01-01
    “…Abstract Space division multiplexing (SDM) with Hermite Gaussian (HG) modes, for instance, can significantly boost the transmission link capacity. However, SDM is not suitable in existing single mode fiber networks, and in long-distance wireless, microwave, THz or optical links, the far-field beam distribution may present a problem. …”
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  4. 4

    Regional Photovoltaic Consumption Control Strategy Based on Non-MPPT Algorithm by Geng NIU, Lingfeng KOU, Xiaogang HOU, Xiaoyun QU, Hui XIE, Bo GAO

    Published 2019-11-01
    “…This paper proposes a Non-MPPT algorithm suitable for regional rooftop photovoltaic power generation system to solve the problem of excess capacity of PV power generation system, based on the environmental adaptive algorithm of two-stage photovoltaic power generation system and the distributed structure of photovoltaic array. …”
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  5. 5

    Solar Irradiance Prediction Method for PV Power Supply System of Mobile Sprinkler Machine Using WOA-XGBoost Model by Dan Li, Jiwei Qu, Delan Zhu, Zheyu Qin

    Published 2024-11-01
    “…The accurate prediction of solar irradiance is crucial for determining the power capacity of photovoltaic power generation (PVPG) systems for mobile sprinkler machines. …”
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    Article
  6. 6

    A study of parameter aggregation algorithms for virtual power plant terminal decentralized resource scheduling characteristics in alpine regions by Yan Wang, Ruizhi Zhang, Ying Wang, Wen Xiang, Lu Wang

    Published 2025-07-01
    “…Based on alpine power generation resources, we design a specialized virtual power plant structure and analyze its market trading applications. …”
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    Article
  7. 7

    ANALYSIS OF THE SUSTAINABLE DEVELOPMENT OF AGRO-TOURISM IN ROMANIA by Mihaela STANCIU, Liviu MARCUTA, Alina MARCUTA, Cristiana TINDECHE, Mariana PREDA (ALEXE)

    Published 2024-01-01
    “…The research aimed to identify the regions with the greatest growth potential, assess tourist flows and propose recommendations for a more balanced distribution of tourism activities. The methodology included a comparative analysis of statistical data from the period 2020-2023 regarding the capacity and use of guesthouses by region and macro-region, using annual growth indicators to measure the evolution of tourism demand and supply. …”
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    Article
  8. 8

    Effects of SBAS-InSAR Deformation Integration Methods and Machine Learning Model Selection on Landslide Susceptibility Mapping by Zhen Yang, Xiangchao Jiang, Meinan Zheng, Qingbiao Guo

    Published 2025-01-01
    “…Landslide susceptibility mapping (LSM) is effective in revealing the spatial distribution and probability of landslides. Its accuracy is crucial for minimizing casualties and property loss. …”
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    Article
  9. 9

    SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration by Han Wei

    Published 2025-07-01
    “…Such heterogeneity leads to uneven resource distribution, ultimately impacting enterprise operations, debt servicing capacity, and credit performance. …”
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    Article
  10. 10

    Bidirectional Power Flow Control Using Phase Shifting Transformer in Multi-Source Systems by Hafiz Ashfaq Ahmad, Atif Hussain, Muhammad Waqar Azam

    Published 2025-07-01
    “…This research introduces a technique to manage power flow using a Phase Shifting Transformer (PST) to boost the overall transfer capacity of the transmission lines and avoid overloading in the grid. …”
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    Article
  11. 11

    NOMA Performance Improvement with Downlink Sectorization by Hurianti Vidyaningtyas, . Iskandar, . Hendrawan, Aloysius A. Pramudita

    Published 2025-02-01
    “…A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. …”
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  12. 12

    Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

    Published 2025-03-01
    “…These maps were created to visualize the distribution and variation of Chl-a concentrations over time and space. …”
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  13. 13

    Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models by Patrick H. Kelly, Rob Kwark, Harrison M. Marick, Julie Davis, James H. Stark, Harish Madhava, Gerhard Dobler, Jennifer C. Moïsi

    Published 2025-03-01
    “…Region-specific ML models were defined via K-means clustering and trained according to the distribution of extracted geocoordinates relative to explanatory variables in each region. …”
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  14. 14

    Artificial intelligence in vaccine research and development: an umbrella review by Rabie Adel El Arab, May Alkhunaizi, May Alkhunaizi, Yousef N. Alhashem, Alissar Al Khatib, Munirah Bubsheet, Salwa Hassanein, Salwa Hassanein

    Published 2025-05-01
    “…Deep learning architectures, including convolutional and recurrent neural networks, generative adversarial networks, and variational autoencoders, proved instrumental in multiepitope vaccine design and adaptive clinical trial simulations. …”
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  15. 15

    Enhancing value creation in short food supply chains through digital platforms by Margherita Masi, Marcello De Rosa, Chrysanthi Charatsari, Evagelos D. Lioutas, Yari Vecchio

    Published 2025-06-01
    “…Results reveal that digital innovations represent socio-technical phenomena whose value-generating capacity is socially context-dependent and that, beyond their function as marketplaces or information-storing devices, these platforms can help pursue sustainability-related goals.…”
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