A Perspective on Methods for Analysis of Measured Energy Data from Commercial Buildings
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This paper provides a historical perspective on the methods used to analyze measured energy use in commercial buildings. It summarizes the capabilities and uncertainties of the regression methods used in most M&V applications today and the calibrated simulation approaches used for M&V, commissioning, and end-use disaggregation. The need for graphical indices is introduced and applications of artificial neural networks, Fourier series and spectral analysis methods for M&V and data acquisition are described. © 1998 by ASME.
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