Matrix Factorisation for Scalable Energy Breakdown
Abstract
Homes constitute a large fraction of the total energy consumption. Producing an energy breakdown for a home has been shown to reduce household energy consumption by up to 15%, among other benefits. However, existing approaches to produce an energy breakdown require hardware to be installed in each home and are thus prohibitively expensive. In this paper, we propose a novel application of feature-based matrix factorisation that does not require any additional hardware installation.
Year of Publication
2017
Conference Name
Proceedings of the ... AAAI Conference on Artificial Intelligence
Date Published
02
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