Lu Yinfu, Hao Na, Li Xianxiong, Alshahrani Mohammad Y
Physical Education Institute, Hunan Institute of Science and Technology, Yueyang, 414006, China.
Xiya Bocai Primary School, Yuelu District, Changsha City, Changsha, 410012, China.
Heliyon. 2024 Aug 7;10(16):e35890. doi: 10.1016/j.heliyon.2024.e35890. eCollection 2024 Aug 30.
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.
在偏远地区，尤其是发展中国家，人们对离网太阳能光伏系统越来越感兴趣，因为它们能够提供清洁且价格合理的电力。然而，由于能力受限和电池存储不足，这些系统在为包括体育设施在内的基本生活设施供电时往往面临限制。为应对这些挑战并促进能源独立，本文提出在数字经济中建立一个基于人工智能的体育系统对等（P2P）能源交换网络。这个创新系统利用人工智能专门为体育相关基础设施优化能源分配，确保太阳能的高效利用，并提高娱乐和社区需求的能源供应。所提议的P2P网络在一个由三部分组成的物联网（IoT）框架上运行，促进互联系统之间的自动能源共享。这种方法不仅提高了现有太阳能装置的性能，还确保有效地满足体育设施的能源需求。该系统的可行性研究显示了令人鼓舞的结果，包括社区能源独立性提高13.67%，总体能源消耗降低12.20%。通过在数字经济背景下整合体育和能源需求，由人工智能驱动的体育系统网络展示了其支持可持续发展和改善偏远地区生活质量的潜力。
