Following the Electrons: Methods for Power Management in Commercial Buildings

Bellala, Gowtham ; Marwah, Manish ; Arlitt, Martin ; Lyon, Geoff ; Bash, Cullen

HP Development Company

关键词: power management;    meter placement;    anomaly detection;    occupancy modeling;    commercial buildings;   

RP-ID  :  HPL-2012-202R1

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

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.