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Conclusions

  • Roberto Bonfigli
  • Stefano Squartini
Chapter
Part of the SpringerBriefs in Energy book series (BRIEFSENERGY)

Abstract

In this book, the Machine Learning approaches for Non-Intrusive Load Monitoring have been studied. Within all the techniques explored by the scientific community, this work has been focused on the hidden Markov model based and the deep neural network based, since their capability and promising performance at the forefront of the improvements could be introduced.

Keywords

Conclusion Future works Performance improvement Gaussian mixture models Neural rest-of-the-world model 

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Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Roberto Bonfigli
    • 1
  • Stefano Squartini
    • 1
  1. 1.Department of Information EngineeringMarche Polytechnic UniversityAnconaItaly

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