Planning models are widely used to provide insight in the transition of energy systems. With the increasing levels of intermittent renewables, the temporal representation in such models requires careful attention. However, representing all 8760 h in each modeled year while at the same time integrating detailed technical constraints of power plants might lead to an overall computationally intractable problem. In this context, several time aggregation methods to select a number of typical periods that together form an adequate representation of the full year have recently been developed.
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