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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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通过使用计算智能算法来确定非可再生能源可负担的能源发电的可持续性.

Adil O Khadidos1, Hariprasath Manoharan2, Alaa O Khadidos3,4

  • 1Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.

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概括

在印度实现负担得起和可持续的能源需要减少需求和增加发电. 计算智能方法可以帮助分析不可再生能源,可能将化石燃料的影响减少80%以上.

关键词:
负担得起的能源.计算智能是一种计算智能.需求和产生的产生.环境研究环境研究可持续发展 可持续性 可持续性

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科学领域:

  • 能源系统 能源系统
  • 计算智能是一种计算智能.
  • 可持续性研究 可持续性研究

背景情况:

  • 印度日益增长的人口需要可持续和负担得起的电力.
  • 减少能源需求和增加发电对于能源可持续性至关重要.

研究的目的:

  • 分析非可再生能源在印度可持续发电中的作用.
  • 调查计算智能在优化能源可用性和降低成本方面的潜力.

主要方法:

  • 利用计算智能算法来分析不可再生能源.
  • 采用聚类技术来确定区域可持续性和连接性.
  • 对比了四种情景来评估化石燃料影响的减少.

主要成果:

  • 计算智能有效地识别当前的能源需求和潜在的减少.
  • 提出的方法表明,通过优化发电,可以将能源需求减少80%以上的可能性.
  • 分析表明,通过替代使用不可再生能源,化石燃料的影响显著减少.

结论:

  • 计算智能为实现印度负担得起和可持续的能源目标提供了一种可行的方法.
  • 优化能源生产和减少需求可以显著降低成本和环境影响.
  • 区域集群和连接性提高了可持续能源解决方案的效率.