In this paper we propose a novel algorithm for the automatic scheduling of deferrable loads in a notified system. Load profiles are deferred in a 'greedy' manner in order to reduce the sum of squared errors between the aggregate scheduled load and a specified target load profile. Numerical results using data from the Plugwise dataset are shown and we also describe how the algorithm helps in peak reduction, and how this delay corresponds to energy storage. As this load scheduling system is designed to follow a target curve, another use of this algorithm is to provide energy market participants with a means of bidding into capacity markets the difference between the original aggregate load and the scheduled aggregate load.

Abstract-This paper describes Steptacular, an online interactive incentive system for encouraging people to walk more. A trial offering Steptacular to the employees of Accenture-USA was conducted over a 6 month period. Over 5,000 employees registered for the program and close to 3,000 participants wore USB-enabled pedometers; from time to time they plugged their pedometer into a computer to upload hourly step counts to a website; and the website had a range of features to encourage more walking. These features included monetary rewards which were randomly redeemable through a simple game, and a social component. We describe the system and present preliminary findings about the effectiveness of each of these features in encouraging physical activity.

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