Arian Prabowo, Kaixuan Chen 0001, Hao Xue 0001, Subbu Sethuvenkatraman, Flora D. Salim. Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. In Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII. Volume 14175 of Lecture Notes in Computer Science, pages 3-19, Springer, 2023. [doi]
@inproceedings{PrabowoCXSS23,
title = {Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting},
author = {Arian Prabowo and Kaixuan Chen 0001 and Hao Xue 0001 and Subbu Sethuvenkatraman and Flora D. Salim},
year = {2023},
doi = {10.1007/978-3-031-43430-3_1},
url = {https://doi.org/10.1007/978-3-031-43430-3_1},
researchr = {https://researchr.org/publication/PrabowoCXSS23},
cites = {0},
citedby = {0},
pages = {3-19},
booktitle = {Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII},
editor = {Gianmarco De Francisci Morales and Claudia Perlich and Natali Ruchansky and Nicolas Kourtellis and Elena Baralis and Francesco Bonchi},
volume = {14175},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-43430-3},
}