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000907697 1001_ $$0P:(DE-Juel1)176842$$aHoffmann, Maximilian$$b0$$eCorresponding author
000907697 245__ $$aThe Pareto-optimal temporal aggregation of energy system models
000907697 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2022
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000907697 520__ $$aThe growing share of intermittent renewable energy sources, storage technologies, and the increasing degree of so-called sector coupling necessitates optimization-based energy system models with high temporal and spatial resolutions, which significantly increases their runtimes and limits their maximum sizes. In order to maintain the computational viability of these models for large-scale application cases, temporal aggregation has emerged as a technique for reducing the number of considered time steps by reducing the original time horizon down to fewer, more representative ones.
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000907697 7001_ $$0P:(DE-Juel1)168451$$aKotzur, Leander$$b1
000907697 7001_ $$0P:(DE-Juel1)129928$$aStolten, Detlef$$b2
000907697 773__ $$0PERI:(DE-600)2000772-3$$a10.1016/j.apenergy.2022.119029$$gVol. 315, p. 119029 -$$p119029 -$$tApplied energy$$v315$$x0306-2619$$y2022
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