Han Li, Giuseppe Pinto, Alfonso Capozzoli, Tianzhen Hong. Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset. 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 242-245, ACM, 2022. [doi]
@inproceedings{LiPCH22,
title = {Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset},
author = {Han Li and Giuseppe Pinto and Alfonso Capozzoli and Tianzhen Hong},
year = {2022},
doi = {10.1145/3563357.3564056},
url = {https://doi.org/10.1145/3563357.3564056},
researchr = {https://researchr.org/publication/LiPCH22},
cites = {0},
citedby = {0},
pages = {242-245},
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},
}