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

10.2307/1403192

10.1109/PECON.2008.4762677

mart�nez-�lvarez, 2007, Partitioning-Clustering Techniques Applied to the Electricity Price Time Series in Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning, 990

li, 0, Electricity price forecasting by clustering-LSSVM, presented at Int Power Eng Conf (IPEC 2007) Singapore 2007

10.1016/S0360-5442(98)00096-6

10.1109/PES.2003.1270445

10.1016/j.enconman.2004.01.006

10.1109/TPWRS.2006.873122

10.1016/j.compchemeng.2007.06.010

10.1109/TPWRD.2011.2142198

10.1016/S0196-8904(02)00058-4

0

10.1016/0378-7796(95)00994-9

troy, 2008, The relationship between base-load generation, start-up costs and generation cycling, USAEE/IAEE North American Conference

10.1109/59.141763

10.5547/ISSN0195-6574-EJ-Vol29-No3-4

10.5547/ISSN0195-6574-EJ-Vol29-No2-1

0

10.1109/59.207350

10.1109/TPWRS.2009.2022982

10.1257/000282802762024557

10.1016/j.energy.2008.01.007

10.1016/j.enpol.2009.07.038

10.1109/PSCE.2009.4840115

10.1080/03610927408827101

10.1145/331499.331504

0

10.1007/BF02294245

meibom, 2008, All Island Grid Study Workstream 2BWind Variability Management Studies

0