Comparing Gray Box Methods to Derive Building Properties from Smart Thermostat Data
Author:
Affiliation:
1. University of Victoria, Victoria, BC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3360322.3360836
Reference17 articles.
1. Modelling the thermal behaviour of a building facade using deep learning
2. Experimental estimation of building energy performance by robust regression
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