dc.contributor.author |
Bringmann, Oliver |
|
dc.date.accessioned |
2020-10-16T15:40:58Z |
|
dc.date.available |
2020-10-16T15:40:58Z |
|
dc.date.issued |
2020 |
|
dc.identifier.issn |
0178-2312 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/108014 |
|
dc.language.iso |
en |
en |
dc.publisher |
Walter De Gruyter Gmbh |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1515/auto-2019-0100 |
|
dc.subject.ddc |
004 |
de_DE |
dc.subject.ddc |
600 |
de_DE |
dc.title |
A computational intelligence based approach for optimized operation scheduling of energy plants |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20200715072417_01879 |
|
utue.publikation.seiten |
118-129 |
de_DE |
utue.personen.roh |
Mast, Johannes |
|
utue.personen.roh |
Raedle, Stefan |
|
utue.personen.roh |
Gerlach, Joachim |
|
utue.personen.roh |
Bringmann, Oliver |
|
dcterms.isPartOf.ZSTitelID |
At - Automatisierungstechnik |
de_DE |
dcterms.isPartOf.ZS-Issue |
SI |
de_DE |
dcterms.isPartOf.ZS-Volume |
68 |
de_DE |
utue.fakultaet |
07 Mathematisch-Naturwissenschaftliche Fakultät |
|