Chun Fu, Pandarasamy Arjunan, Clayton Miller. Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. In Jorge Ortiz 0001, editor, Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, Massachusetts, November 9-10, 2022. pages 456-461, ACM, 2022. [doi]
@inproceedings{FuAM22,
title = {Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition},
author = {Chun Fu and Pandarasamy Arjunan and Clayton Miller},
year = {2022},
doi = {10.1145/3563357.3566147},
url = {https://doi.org/10.1145/3563357.3566147},
researchr = {https://researchr.org/publication/FuAM22},
cites = {0},
citedby = {0},
pages = {456-461},
booktitle = {Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022, Boston, Massachusetts, November 9-10, 2022},
editor = {Jorge Ortiz 0001},
publisher = {ACM},
isbn = {978-1-4503-9890-9},
}