Divide and Conquer? k-Means Clustering of Demand Data Allows Rapid and Accurate Simulations of the British Electricity System

Richard Green, Iain Staffell, Nicholas Vasilakos

Research output: Contribution to journalArticle

66 Citations (Scopus)
Original languageEnglish
Pages (from-to)251-260
Number of pages10
JournalIEEE Transactions on Engineering Management
Volume61
Issue number2
Early online date30 Jan 2014
DOIs
Publication statusPublished - 1 May 2014

Keywords

  • pattern clustering
  • power generation dispatch
  • power system simulation
  • British electricity system
  • complex Monte Carlo simulations
  • data partitioning
  • dispatch model
  • intermittent wind generation
  • k-means clustering algorithm
  • national electricity demand data
  • profiling method
  • sensitivity analysis

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