Inference of Building Occupancy Signals Using Moving Horizon Estimation and Fourier Regularization

TitleInference of Building Occupancy Signals Using Moving Horizon Estimation and Fourier Regularization
Publication TypeJournal Article
Year of Publication2013
AuthorsZavala, VM
JournalJournal of Process Control
Date Published10/2013
Other NumbersANL/MCS-P4031-0213
AbstractWe study the problem of estimating time-varying occupancy and ambient air flow signals by using noisy carbon dioxide and flow sensor measurements. A regularized moving horizon estimation formulation is proposed that forces time-varying signals to fit smooth Fourier expansions. We demonstrate that the regularization approach makes the estimator robust to high levels of noise. In addition, it requires minimal information about the shape of the signals. Computational experiments using synthetic and real data are presented to demonstrate the effectiveness of the approach.
URLhttp://www.sciencedirect.com/science/article/pii/S0959152413001893
PDFhttp://www.mcs.anl.gov/papers/P4031-0213.pdf