A Hybrid Clustering and Classification Technique for Forecasting Short-Term Energy Consumption
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Klassifikation
-
Wirtschaft
- Schlagwort
-
Data Mining
- Ereignis
-
Veröffentlichung
- (wo)
-
Weimar
- (wer)
-
Bauhaus-Institut für zukunftsweisende Infrastruktursysteme
- (wann)
-
2018
- Urheber
- DOI
-
10.25643/bauhaus-universitaet.3755
- URN
-
urn:nbn:de:gbv:wim2-20180907-37550
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Mosavi, Amir
- Torabi, Mehrnoosh
- Hashemi, Sattar
- Saybani, Mahmoud Reza
- Shamshirband, Shahaboddin
- Bauhaus-Institut für zukunftsweisende Infrastruktursysteme
Entstanden
- 2018
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