Mahadik Sheetal, Gedam Madhuri, Shah Deven
Department of Electronics and Telecommunication, Shree L.R. Tiwari College of Engineering, Thane, India.
Department of Information Technology, Shree L.R. Tiwari College of Engineering, Thane, India.
Front Artif Intell. 2025 Feb 19;7:1510410. doi: 10.3389/frai.2024.1510410. eCollection 2024.
Environmental sustainability is a pressing global concern, with energy conservation and efficient utilization playing a key role in its achievement. Smart grid technology has emerged as a promising solution, facilitating energy efficiency, promoting renewable energy integration, and fostering consumer engagement. But the addition of intelligent sensors to these grids has the potential to greatly increase the level of sustainability initiatives. This also study looks at how AI with smart grid sensor can perform real-time data monitoring, optimal energy distribution, and proactive decision support from smart grid sensors might improve environmental sustainability. Smart sensors provide accurate tracking of energy usage trends, enhance load distribution, and advance the sensible application of renewable energy resources. These sensors aid in cutting down on energy waste and carbon emissions by interacting with customers and enabling demand-response systems. This study addresses the critical role of smart sensors in overcoming the shortcomings of conventional grids and guaranteeing a more resilient, efficient, and sustainable energy future through an extensive analysis of the literature. Grid-enabled systems, such as electric water heaters with sensor, can achieve energy savings of up to 29%. The integration of renewable energy sources through sensors enhances system efficiency, reduces reliance on fossil fuels, and optimizes supply and demand. Utilizing Internet of Things (IoT) technology enables precise monitoring of air quality, water consumption, and resource management, significantly improving environmental oversight. This integration can lead to a reduction in greenhouse gas emissions by up to 20% and water usage by 30%.
环境可持续性是一个紧迫的全球问题，能源节约和高效利用在实现这一目标中起着关键作用。智能电网技术已成为一种有前景的解决方案，有助于提高能源效率、促进可再生能源整合并增强消费者参与度。但是在这些电网中添加智能传感器有可能极大地提高可持续发展举措的水平。本研究还探讨了配备智能电网传感器的人工智能如何进行实时数据监测、优化能源分配，以及智能电网传感器的主动决策支持可能如何改善环境可持续性。智能传感器可准确跟踪能源使用趋势、优化负荷分配，并推动可再生能源资源的合理应用。这些传感器通过与客户互动并启用需求响应系统，有助于减少能源浪费和碳排放。本研究通过对文献的广泛分析，阐述了智能传感器在克服传统电网缺点以及确保实现更具弹性、高效和可持续的能源未来方面的关键作用。配备传感器的系统，如带传感器的电热水器，可实现高达29%的节能。通过传感器整合可再生能源可提高系统效率、减少对化石燃料的依赖，并优化供需。利用物联网（IoT）技术能够精确监测空气质量、用水量和资源管理，显著改善环境监管。这种整合可使温室气体排放量减少多达20%，用水量减少30%。
