@article{Green:2014:10.1109/TEM.2013.2284386, author = {Green, R and Staffell, I and Vasilakos, N}, doi = {10.1109/TEM.2013.2284386}, journal = {IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT}, pages = {251--260}, title = {Divide and Conquer? <i>k</i>-Means Clustering of Demand Data Allows Rapid and Accurate Simulations of the British Electricity System}, url = {http://dx.doi.org/10.1109/TEM.2013.2284386}, volume = {61}, year = {2014} }
TY - JOUR AU - Green,R AU - Staffell,I AU - Vasilakos,N DO - 10.1109/TEM.2013.2284386 EP - 260 PY - 2014/// SN - 0018-9391 SP - 251 TI - Divide and Conquer? <i>k</i>-Means Clustering of Demand Data Allows Rapid and Accurate Simulations of the British Electricity System T2 - IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT UR - http://dx.doi.org/10.1109/TEM.2013.2284386 UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000335396000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb VL - 61 ER -
Transition to Zero Pollution is a flagship initiative of the Imperial's Academic Strategy, with a vision to realise a sustainable zero pollution future. The initiative brings researchers from different disciplines together to take a systems approach to tackling pollution in all its forms.