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Temperature Control Optimization.pdf

doi.org.10.32010.26166127.2022.5.1.94.111.pdf
Preview of Temperature Control Optimization
🔗 Source: azjhpc.com
📊 Size: 1.07 MB
📄 Pages: 18 pages
⬇️ Downloads: 93

Summary

Researchers propose a method to balance temperature in smart buildings using IoT, slicing technique, and clustering, converting heterogeneous data into homogeneous data, and achieving optimization through a combination of hierarchical clustering, Gaussian mixture, and K-means methods, with K-means selected as the clustering method due to its reliability and majority voting for weights, resulting in acceptable outcomes with a minimum value of 88% and a highest value of about 100.

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Description

Researchers propose a method to balance temperature in smart buildings using IoT, slicing technique, and clustering, converting heterogeneous data into...

Technical Information

  • File Format: PDF
  • File Size: 1.07 MB
  • Pages: 18
  • Language: EN
  • Total Downloads: 93
  • Last Updated: 1 week ago

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This PDF document about Temperature Control Optimization provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Temperature Control Optimization.

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