Abdulla, Khalid; De Hoog, Julian; Steer, Kent; Wirth, Andrew; Halgamuge, Saman
A multi-resolution approach to dynamic programming is presented, which reduces the computational effort of solving multistage optimization problems with long horizons and short decision intervals. The approach divides an optimization horizon into a series of subhorizons, discretized at different state space and temporal resolutions, enabling a reduced computational complexity compared to a single-resolution approach. The method is applied to optimizing the operation of a residential energy...[Show more]
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