A short-term building cooling load prediction method using deep learning algorithms
•Deep learning-based methods are developed for building cooling load prediction.•Accurate predictions on 24-h ahead building cooling load profiles are achieved.•The potentials of supervised and unsupervised deep learning is investigated.•Features extracted by unsupervised deep learning can improve m...
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| Published in: | Applied energy Vol. 195; pp. 222 - 233 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.06.2017
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| Subjects: | |
| ISSN: | 0306-2619, 1872-9118 |
| Online Access: | Get full text |
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