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An artificial neural network for predicting domestic hot water characteristics
Barteczko-Hibbert, Christian; Gillott, Mark; Kendall, Graham - In: International Journal of Low-Carbon Technologies 4 (2009) 2, pp. 112-119
Domestic hot water (DHW) in the UK accounts for ∼7.5% of all energy use. For manufacturers of heating and hot water appliances to be in a position to respond to patterns of demand a full understanding of the effect of user-defined DHW profiles, different DHW systems and heating technologies...
Persistent link: https://www.econbiz.de/10010566935
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A Simulated Annealing Enhancement of the Best-Fit Heuristic for the Orthogonal Stock-Cutting Problem
Burke, Edmund K.; Kendall, Graham; Whitwell, Glenn - In: INFORMS journal on computing : JOC 21 (2009) 3, pp. 505
Persistent link: https://www.econbiz.de/10008280815
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Multidisciplinary scheduling : theory and applications
Kendall, Graham (contributor) - 2008
Persistent link: https://www.econbiz.de/10004936604
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Cutting, packing, layout, and space allocation
Kendall, Graham (contributor) - 2010
Persistent link: https://www.econbiz.de/10008969208
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Computational intelligence and scheduling
Kendall, Graham (contributor) - 2010
Persistent link: https://www.econbiz.de/10008969209