Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis
Schütz, Thomas (Corresponding author); Schraven, Markus Hans; Fuchs, Marcus; Remmen, Peter; Müller, Dirk
Amsterdam [u.a.] : Elsevier Science (2018)
Journal Article
In: Renewable energy
Volume: 129
Page(s)/Article-Nr.: 570-582
Institutions
- Chair of Energy Efficient Buildings and Indoor Climate [419510]
- E.ON Energy Research Center [080052]
Identifier
- DOI: 10.1016/j.renene.2018.06.028
- RWTH PUBLICATIONS: RWTH-2018-226189