Clayton Miller. Predicting success of energy savings interventions and industry type using smart meter and retrofit data from thousands of non-residential buildings. In Kamin Whitehouse, Prabal Dutta, Hae Young Noh, editors, Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2017, Delft, The Netherlands, November 08-09, 2017. ACM, 2017. [doi]
@inproceedings{Miller17-13,
title = {Predicting success of energy savings interventions and industry type using smart meter and retrofit data from thousands of non-residential buildings},
author = {Clayton Miller},
year = {2017},
doi = {10.1145/3137133.3137160},
url = {http://doi.acm.org/10.1145/3137133.3137160},
researchr = {https://researchr.org/publication/Miller17-13},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2017, Delft, The Netherlands, November 08-09, 2017},
editor = {Kamin Whitehouse and Prabal Dutta and Hae Young Noh},
publisher = {ACM},
}