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master_thesis.pdf
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🔗 Source: thesis.library.caltech.edu
📊 Size: 472 KB
📄 Pages: 76 pages
⬇️ Downloads: 51

Summary

Niangjun Chen's Master of Science thesis, "Model Predictive Control for Deferrable Loads Scheduling," proposes a real-time distributed deferrable load control algorithm to reduce the variance of aggregate load by shifting power consumption to periods with high renewable generation. The model predictive algorithm minimizes expected variance with updated predictions at every time step. The thesis proves that suboptimality vanishes as the time horizon expands and provides strong concentration results on the distribution of load variance. The algorithm is evaluated via trace-based simulations.

Description

Niangjun Chen's Master of Science thesis, "Model Predictive Control for Deferrable Loads Scheduling," proposes a real-time distributed deferrable load control...

Technical Information

  • File Format: PDF
  • File Size: 472 KB
  • Pages: 76
  • Language: EN
  • Total Downloads: 51
  • Last Updated: 1 month ago

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