Following the Electrons: Methods for Power Management in Commercial Buildings
Bellala, Gowtham; Marwah, Manish; Arlitt, Martin; Lyon, Geoff; Bash, Cullen
Keyword(s): power management; meter placement; anomaly detection; occupancy modeling; commercial buildings
Abstract: Commercial buildings are significant consumers of electricity. The first step towards better energy management in commercial buildings is monitoring consumption. However, instrumenting every electrical panel in a large commercial building is expensive and wasteful. In this paper, we propose a greedy meter (sensor) placement algorithm based on maximization of information gained, subject to a cost constraint. The algorithm provides a near-optimal solution guarantee. Furthermore, to identify power saving opportunities, we use an unsupervised anomaly detection technique based on a low-dimensional embedding. Further, to better manage resources such as lighting and HVAC, we propose a semi-supervised approach combining hidden Markov models (HMM) and a standard classifier to model occupancy based on readily available port-level network statistics.
External Posting Date: November 21, 2012 [Fulltext]. Approved for External Publication
Internal Posting Date: November 21, 2012 [Fulltext]