Research on spectral analysis method of load characteristics in smart grid

Cheng, Yu; Dong, Nan

doi:10.1109/fskd.2011.6020063

Cited by 3 publications

(1 citation statement)

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“…Spectral analysis methods to analyze power load characteristics were presented in [7]. Frequency domain analysis applied to building systems energy demand has been explored in [8] for the purpose of detecting anomalies in periodic building operations.…”

Section: Introductionmentioning

confidence: 99%

Similarity measures in smart building electrical demand data

2015

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With the increase in smart, LEED-certified buildings there comes an increase in the amount of time-series data generated by the sensor networks within these buildings. Extracting useful information from the sensor network data can pose a challenge. While diurnal and seasonal patterns of electrical demand are well known from traditional metering systems, smart building sensor networks can provide insight into abnormalities or previously unknown patterns in electrical demand. In this paper, we demonstrate how to mine the data for these unknowns through the analysis of the frequency components of the time-series electrical demand data. The data for this study was collected from an LEED-certified building over twelve consecutive months with separate data feeds for the electrical demand from the heating, A/C, ventilation, lighting and miscellaneous systems. We employed Fourier methods to transform the data from the time domain to the frequency domain and then used similarity measures to look for similarities and outliers among the differing systems.

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Section: Introductionmentioning

confidence: 99%