Data Center Optimization.pdf

machine-learning-applicationsfor-datacenter-optimization-finalv2.pdf
Preview of Data Center Optimization
🔗 Source: static.googleusercontent.com
📊 Size: 553 KB
📄 Pages: 13 pages
⬇️ Downloads: 50

Summary

A neural network framework learns from actual operations data to model plant performance and predict PUE within a range of 0.004 +/- 0.005, or 0.4% error for a PUE of 1.1, and has been extensively tested and validated at Google DCs, demonstrating that machine learning is an effective way to leverage existing sensor data to model DC performance and improve energy efficiency.

Description

A neural network framework learns from actual operations data to model plant performance and predict PUE within a range of 0.004 +/- 0.005, or 0.4% error for a...

Technical Information

  • File Format: PDF
  • File Size: 553 KB
  • Pages: 13
  • Language: EN
  • Total Downloads: 50
  • Last Updated: 6 days ago

Document Overview

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

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