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Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models

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Resource type
Conference Paper
Authors/contributors
Title
Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models
Date
2023-06-20
Proceedings Title
Proceedings of the 14th ACM International Conference on Future Energy Systems
Conference Name
e-Energy '23: The 14th ACM International Conference on Future Energy Systems
Place
Orlando FL USA
Publisher
ACM
Pages
524-529
Language
en
DOI
10.1145/3575813.3597453
ISBN
9798400700323
URL
https://dl.acm.org/doi/10.1145/3575813.3597453
Accessed
13/02/2024, 21:36
Library Catalogue
DOI.org (Crossref)
Call Number
openalex:W4380885277
Extra
openalex: W4380885277
Citation
Boubouh, K., Basmadjian, R., Ardakanian, O., Maurer, A., & Guerraoui, R. (2023). Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models. Proceedings of the 14th ACM International Conference on Future Energy Systems, 524–529. https://doi.org/10.1145/3575813.3597453
Link to this record
https://climate.educationevidence.io/lib/EJDZF6J2