Near optimal demand-side energy management under real-time demand-response pricing

Abstract--In this paper, we present demand-side energy management under real-time demand-response pricing as a task scheduling problem which is NP-hard. Using minmax as the objective, we show that the schedule produced by our minMax scheduling algorithm has a number of salient advantages: significant peakshaving, cost reduction, and risk-aversion for the consumers. We prove that our algorithm finds near-optimal solutions and our simulation study show that the actual performance is better than the worst-case bound. The algorithm is simple to implement and efficient at the scale of large enterprises.

• Type: Journal
• Year: 2010
• Where: CNSM
• Authors: Jin Xiao, Jae Yoon Chung, Jian Li, Raouf Boutaba, James Won-Ki Hong
• Keywords: Algorithm, CNSM 2010, Computer Networks, Demand-side Energy Management, Real-time Demand-response Pricing