通过智能电网传感器的环境可持续性
Sheetal Mahadik1, Madhuri Gedam2, Deven Shah2
1Department of Electronics and Telecommunication, Shree L.R. Tiwari College of Engineering, Thane, India.
Frontiers in artificial intelligence
|March 6, 2025
概括
智能电网传感器通过实时监测,减少能源损失和整合可再生能源来提高环境可持续性. 人工智能进一步优化了电网性能和资源管理,以实现更绿色的未来.
科学领域:
- 环境科学 环境科学
- 电气工程 电气工程
- 计算机科学 计算机科学
背景情况:
- 环境可持续性是全球优先事项,能源效率对实现这一目标至关重要.
- 智能电网技术为能源效率,可再生能源整合和消费者参与提供解决方案.
- 智能传感器显著提高了智能电网的可持续性能力.
研究的目的:
- 突出智能电网传感器在解决能源损失,需求响应和可再生能源整合方面的作用.
- 检查人工智能和智能传感器如何改善实时监控,能源分配和决策支持.
- 展示传感器技术在印度的实际应用和成果.
主要方法:
- 关于智能电网传感器和AI集成的文献分析.
- 审查印度的试点项目 (例如,贝斯科姆,塔塔电力-DDL).
- 审查启用传感器的系统及其对节能和排放的影响.
主要成果:
- 智能传感器可实现实时监控,故障检测和最佳负载管理,减少对环境的影响.
- 人工智能与传感器的集成可以提高预测性维护,能源管理和网络安全.
- 传感器技术的采用显示了节能 (高达29%) 和减少排放 (高达20%) 的巨大潜力.
结论:
- 智能传感器对于克服传统电网局限性至关重要,确保具有弹性,高效和可持续的能源未来.
- 人工智能和物联网与智能电网传感器的整合提供了先进的环境监督和资源管理.
- 试点项目展示了智能传感器部署在现实世界场景中的实际可行性和好处.
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