Bad Data Detection

  • Kianoosh G. Boroojeni
  • M. Hadi Amini
  • S. S. Iyengar


One of the major roles that Smart Grid has promised to play is to provide a power to satisfy power demand with environmentally-friendly source of energy while maintaining an acceptable level of adequacy and security that traditional systems promise. As a result, there have been many efforts to develop estimation algorithms of the power system states which are the core of the time-sensitive grid management. In this chapter, we address auto-regressive load forecasting methods which play pivotal role in creating an accurate state estimator for the power grid management.


Time Series Smart Grid Load Data Stationary Time Series Load Demand 
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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Kianoosh G. Boroojeni
    • 1
  • M. Hadi Amini
    • 2
    • 3
  • S. S. Iyengar
    • 1
  1. 1.School of Computing and Information SciencesFlorida International UniversityMiamiUSA
  2. 2.SYSU-CMU Joint Institute of Engineering School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhouChina
  3. 3.Department of Electrical and Computer EngineeringCarnegie Mellon UniversityPittsburghUSA

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