%0 Conference Paper %1 schreiber2021task %A Schreiber, Jens %A Vogt, Stephan %A Sick, Bernhard %B European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD): Applied Data Science Track %D 2021 %I Springer %K imported itegpub %P 118--134 %R 10.1007/978-3-030-86514-6_8 %T Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast

@inproceedings{schreiber2021task, added-at = {2022-01-07T10:37:59.000+0100}, author = {Schreiber, Jens and Vogt, Stephan and Sick, Bernhard}, biburl = {https://www.bibsonomy.org/bibtex/2c635397886da4fd06265596c5b6503de/ies}, booktitle = {European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD): Applied Data Science Track}, doi = {10.1007/978-3-030-86514-6_8}, interhash = {ae69698ec98e250bee09027bf11c6f6e}, intrahash = {c635397886da4fd06265596c5b6503de}, keywords = {imported itegpub}, pages = {118--134}, publisher = {Springer}, timestamp = {2022-01-07T10:37:59.000+0100}, title = {Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast}, year = 2021 }