Authors | S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes |
Title | Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources |
Afilliation | Machine Learning |
Project(s) | Department of Holistic Systems |
Status | Published |
Publication Type | Journal Article |
Year of Publication | 2022 |
Journal | Sensors |
Volume | 2232 |
Issue | 7 |
Pagination | 2802 |
Date Published | 01-04-2022 |
Publisher | MPDI |
URL | https://www.mdpi.com/1424-8220/22/7/2802https://www.mdpi.com/1424-8220/22/7/2802/pdf |
DOI | 10.3390/s22072802 |
Citation Key | 42438 |