These guys have studied exactly what I have in mind: "An Empirical Study of the Potential for Context-Aware Power Management" [ https://www.scss.tcd.ie:453/publications/tech-reports/reports.07/TCD-CS-2007-52.pdf ] - There's a few more in google scholar. They are using a bayesian classifier to predict on the next most desirable status for a machine, the idea being saving power when nobody pays attention, and waking up before anyone cares. Same perceived comfort, less watts. Creative use of a microphone as a presence sensor (Touch, hint.) Unfortunately for them, they missed focusing on a quality music server, and taking into account time of day / day of week.
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