Mathematical Methods for Non-Intrusive Load Monitoring

Abstract

The calculation of the Discrete Fourier Transform (DFT) of a discrete time signal is a fundamental problem in discrete-time signal processing. This thesis presents algorithms that use methods from number theory and algebra to exploit additional constraints about a signal to aid in the calculation of its DFT. First, an algorithm is presented that estimates the DFT of an unquantized signal given only a quantized version of that signal. Second, an algorithm to estimate the value of one subset of DFT coefficients from knowledge of another subset of DFT coefficients, for an appropriately constrained class of waveforms, is presented and analyzed. Thirdly, an algorithm to classify electrical loads on the basis of a subset of the DFT coefficients of load current is demonstrated. Finally an embedded system that calculates DFT coefficients of measured current and makes this information available in convenient forms is considered.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA540351

Entities

People

  • Zachary Remscrim

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Computers
  • Digital Signal Processing
  • Discrete Fourier Transforms
  • Electrical Engineering
  • Electrical Loads
  • Electricity Meters
  • Embedded Systems
  • Energy Consumption
  • Floating Point Operations
  • Load Monitoring
  • Measurement
  • Number Theory
  • Signal Processing
  • Time Signals
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Electrical Engineering