Green, Richard, Staffell, Iain and Vasilakos, Nicholas ORCID: https://orcid.org/0000-0003-3279-2885
(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
Item Type: | Article |
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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 University of East Anglia > Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research |
Depositing User: | Pure Connector |
Date Deposited: | 25 Jul 2014 13:26 |
Last Modified: | 24 Oct 2022 23:58 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/49413 |
DOI: | 10.1109/TEM.2013.2284386 |
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