Time and Frequency Analysis of Load Profile Data

Moayedi, Sam; James, Kevin; Hempel, Michael; Sharif, Hamid; Alahmad, Mahmoud; Parker, Andrew (ORCID:0000000254905134)

doi:10.1109/pesgm51994.2024.10688924

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DOE OSTI · 2477395

Time and Frequency Analysis of Load Profile Data

Moayedi, Sam·James, Kevin·Hempel, Michael·Sharif, Hamid·Alahmad, Mahmoud·Parker, Andrew (ORCID:0000000254905134)

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Abstract

Technology advancements and integration of modern advanced metering systems can monitor, forecast, inform, control, and operate the building's mechanical, electrical, and plumbing (MEP) systems. They offer a higher level of information, which can contribute to making smart buildings more energy efficient and to making them closer to becoming grid-interactive energy efficient buildings (GEB). This paper builds on the ongoing research on variability analysis of a case study building with a 1-minute load profile and examines the Discrete Wavelet Transform (DWT) process in the frequency domain to quantify the signal's energy in each bandwidth, with respect to each end-use category. Moreover, the amount of variability in the total variability is not similar among the end-use categories. This information is needed to understand the behavior of the variability in the frequency domain for future applications, such as generating synthetic load profiles with a similar frequency spectrum as the measured signal.

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decomposition DWT FFT frequency quantification load profile MATHEMATICS AND COMPUTING,POWER TRANSMISSION AND DISTRIBUTION

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Moayedi, Sam, James, Kevin, Hempel, Michael, Sharif, Hamid, Alahmad, Mahmoud, Parker, Andrew (ORCID:0000000254905134). 2024-10-04. Time and Frequency Analysis of Load Profile Data. https://doi.org/10.1109/pesgm51994.2024.10688924

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