ArticleHeliyon2024
AI-enabled sports-system peer-to-peer energy exchange network for remote areas in the digital economy.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In remote areas, particularly in developing countries, there is a growing interest in off-grid solar PV systems for their ability to provide clean and affordable electricity. However, these systems often face limitations in powering essential amenities, including sports facilities, due to restricted capabilities and inadequate battery storage. To address these challenges and promote energy independence, this paper proposes an AI-enabled sports-system peer-to-peer (P2P) energy exchange network within the digital economy. This innovative system leverages AI to optimize energy distribution specifically for sports-related infrastructures, ensuring efficient use of solar power and improved energy availability for both recreational and community needs. The proposed P2P network operates on a three-part Internet of Things (IoT) framework, facilitating automatic energy sharing among interconnected systems. This approach not only enhances the performance of existing solar power setups but also ensures that energy demands for sports facilities are met effectively. Feasibility studies of this system reveal promising outcomes, including a 13.67% increase in community energy independence and a 12.20% reduction in overall energy consumption. The AI-powered sports-system network demonstrates its potential to support sustainable development and improve the quality of life in remote areas by integrating sports and energy needs within the digital economy context.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.