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Krisch, Martin (2023) Vergleichende Analyse und Evaluation von klassischen und Machine-Learning-basierten Verfahren zur Wärmebedarfsprognose im Wohnungssektor. Bachelor's, Carl von Ossietzky Universität Oldenburg.
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| Item URL in elib: | https://elib.dlr.de/194132/ | ||||||||
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| Document Type: | Thesis (Bachelor's) | ||||||||
| Title: | Vergleichende Analyse und Evaluation von klassischen und Machine-Learning-basierten Verfahren zur Wärmebedarfsprognose im Wohnungssektor | ||||||||
| Authors: |
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| Date: | 2023 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Number of Pages: | 31 | ||||||||
| Status: | Published | ||||||||
| Keywords: | heat demand, load forecast, LSTM, support vector regression, neural network, machine learning, residential heat | ||||||||
| Institution: | Carl von Ossietzky Universität Oldenburg | ||||||||
| Department: | Fachbereich Physik | ||||||||
| HGF - Research field: | Energy | ||||||||
| HGF - Program: | Energy System Design | ||||||||
| HGF - Program Themes: | Digitalization and System Technology | ||||||||
| DLR - Research area: | Energy | ||||||||
| DLR - Program: | E SY - Energy System Technology and Analysis | ||||||||
| DLR - Research theme (Project): | E - Energy System Technology | ||||||||
| Location: | Oldenburg | ||||||||
| Institutes and Institutions: | Institute of Networked Energy Systems > Energy System Technology | ||||||||
| Deposited By: | Brucke, Karoline | ||||||||
| Deposited On: | 20 Mar 2023 10:15 | ||||||||
| Last Modified: | 20 Mar 2023 10:15 |
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