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

Green, Richard, Staffell, Iain and Vasilakos, Nicholas (2014) Divide and Conquer? k-Means Clustering of Demand Data Allows Rapid and Accurate Simulations of the British Electricity System. IEEE Transactions on Engineering Management, 61 (2). pp. 251-260. ISSN 0018-9391

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Item Type: Article
Uncontrolled 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
Faculty \ School: Faculty of Social Sciences > Norwich Business School
Depositing User: Pure Connector
Date Deposited: 25 Jul 2014 13:26
Last Modified: 24 Jul 2019 20:07
URI: https://ueaeprints.uea.ac.uk/id/eprint/49413
DOI: 10.1109/TEM.2013.2284386

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