2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton) 2013
DOI: 10.1109/allerton.2013.6736662
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Stable real-time pricing and scheduling for serving opportunistic users with deferrable loads

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Cited by 9 publications
(3 citation statements)
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“…The design of RTP algorithms is still under active research and an academic consensus has not been achieved. The security analysis and results in this article are based on a simple RTP algorithm (Proposition 4.1), which is similar to the one in Dalkilic et al [2013]. We note that our and Dalkilic's algorithms are different from those adopted in the current wholesale markets, which often solve the clearing prices based on autoregression-based demand predictors.…”
Section: Limitations Discussion and Future Workmentioning
confidence: 94%
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“…The design of RTP algorithms is still under active research and an academic consensus has not been achieved. The security analysis and results in this article are based on a simple RTP algorithm (Proposition 4.1), which is similar to the one in Dalkilic et al [2013]. We note that our and Dalkilic's algorithms are different from those adopted in the current wholesale markets, which often solve the clearing prices based on autoregression-based demand predictors.…”
Section: Limitations Discussion and Future Workmentioning
confidence: 94%
“…We note that an RTP algorithm proposed by Dalkilic et al [2013] also tunes the price based on the immediate past generation scheduling error. Compared with other RTP algorithms Samadi et al 2014;Choi et al 1998;Siddiqi and Baughman 1993;Samadi et al 2010;Qian et al 2013;], our and Dalkilic's algorithms require neither an accurate demand model nor the two-way communication capability of consumers.…”
Section: Control-theoretic Price Stabilizationmentioning
confidence: 99%
“…Often, papers describe DSM as a reaction on varying prices of electricity [2][3][4][5][6]. A drawback of this approach is, that if the price falls under a certain threshold, many households will activate appliances with complex programs, like washing machines, simultaneously.…”
Section: Introductionmentioning
confidence: 99%