• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Microprocessors and microsystems >A smart grid incorporated with ML and IoT for a secure management system
【24h】

A smart grid incorporated with ML and IoT for a secure management system

机译：包含ML和IOT的智能网格，用于安全管理系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The economy, national safety, and health care are tremendously dependent on the faithful supply of power. The communication technology integration and sensors in power systems have been authorized as a smart grid (SG) that is revolutionizing the model of power generation, distribution, monitoring, and control. To know the Smart Grid compatibility, many problems are required to be directed. The safety of the smart grid is the most challenging function and very crucial difficulties. This paper proposed, a safe demand-side management machine deploying machine learning for the Internet of Things authorized phase is recommended. The propounded demand-side management (DSM) machine protects the effective energy use based on their preferences. A particular flexibility sample was proposed to manage incursion into the smart grid. Anelastic agent prognosticates swindling companies, the ML classifiers are utilized. Promoted power management and intermediate control companies are recommended for processing power data to improve energy usage. The proposed project's effective simulation is implemented to examine the efficiency. The outcome of the analysis discloses that the planned demand-side management (DSM) machine is less susceptible to the incursion and it is sufficient to decrease the smart grid's energy consumption.
机译：经济，国家安全和医疗保健非常依赖于忠实的权力供应。电力系统中的通信技术集成和传感器已被授权为智能电网（SG），可彻底改变发电，分配，监控和控制模型。要知道智能电网兼容性，需要有许多问题要定向。智能电网的安全是最具挑战性的功能和非常重要的困难。本文提出了一种安全的需求 - 侧管理机器部署机器学习，授权阶段互联网。 Provounded需求侧管理（DSM）机器保护基于其偏好的有效能量使用。提出了一种特定的灵活性样本来管理入侵智能电网。 Anelastic代理预测欺凌公司，使用ML分类剂。推动电力管理和中间控制公司建议加工电力数据以改善能源使用情况。拟议的项目的有效模拟实施以检查效率。分析的结果公开说，计划的需求侧管理（DSM）机器对入侵的影响较小，降低智能电网的能量消耗就足够了。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号