2014
DOI: 10.3109/07420528.2014.965316
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Circadian analysis of large human populations: Inferences from the power grid

Abstract: Few, if any studies have focused on the daily rhythmic nature of modern industrialized populations. The present study utilized real-time load data from the U.S. Pacific Northwest electrical power grid as a reflection of human operative household activity. This approach involved actigraphic analyses of continuously streaming internet data (provided in 5 min bins) from a human subject pool of approximately 43 million primarily residential users. Rhythm analyses reveal striking seasonal and intra-week differences… Show more

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Cited by 5 publications
(1 citation statement)
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“…For indoor work, we assumed air conditioning as an adaptation to climate change, which increases energy demand (Waite et al, 2017) and possibly causes additional CO 2 emissions. Shifted activity patterns can change diurnal energy demand variation (Stowie et al, 2015;Torriti et al, 2015) and eventually energy demand-supply balance. In particular, if large-scale renewable energies, such as photovoltaic generation, which has a diurnal variation in its output, are deployed in the power grid, the diurnal energy demand variation becomes more important.…”
Section: 1029/2018ef000883mentioning
confidence: 99%
“…For indoor work, we assumed air conditioning as an adaptation to climate change, which increases energy demand (Waite et al, 2017) and possibly causes additional CO 2 emissions. Shifted activity patterns can change diurnal energy demand variation (Stowie et al, 2015;Torriti et al, 2015) and eventually energy demand-supply balance. In particular, if large-scale renewable energies, such as photovoltaic generation, which has a diurnal variation in its output, are deployed in the power grid, the diurnal energy demand variation becomes more important.…”
Section: 1029/2018ef000883mentioning
confidence: 99%