2001
DOI: 10.1109/59.918305
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Using utility information to calibrate customer demand management behavior models

Abstract: Abstract-In times of stress customers can help a utility by means of voluntary demand management programs if they are offered the right incentives. The incentives offered can be optimized if the utility can estimate the outage or substitution costs of its customers. This paper illustrates how existing utility data can be used to predict customer demand management behavior. More specifically, it shows how estimated customer cost functions can be calibrated to help in designing efficient demand management contra… Show more

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Cited by 182 publications
(35 citation statements)
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“…from the model and regarded as inputs to the IL relief model run by the LSEs. The outage cost function is assumed to be quadratic following [10] and [13], and incentive compensations are adopted as extra motivations to encourage customers to participate in IL programs and consequently choose the proper contract.…”
Section: Demand Reliefmentioning
confidence: 99%
See 1 more Smart Citation
“…from the model and regarded as inputs to the IL relief model run by the LSEs. The outage cost function is assumed to be quadratic following [10] and [13], and incentive compensations are adopted as extra motivations to encourage customers to participate in IL programs and consequently choose the proper contract.…”
Section: Demand Reliefmentioning
confidence: 99%
“…Similar rationale applies for RES output curtailment as shown in constraint (12), in which P w,t,s is the RES output without curtailment. In terms of IL, Constraint (13) imposes that a LES's total provision of demand relief and FRP should not exceed its overall capacity.…”
Section: Stochastic Rtuc Considering System Ramping Requirement and Imentioning
confidence: 99%
“…The authors also explore the performance of ILCs under retailer competition. Fahrioglu and Alvarado [21,22] study incentive-compatible ILCs and describe a methodology for the electricity utility to estimate the customer demand and the value of interruptibility for the customer through utility data. The authors' objective is to design the contract incentives in a way that enables the revelation of the customers' actual valuation of the interruption.…”
Section: Interruptible Load Contractsmentioning
confidence: 99%
“…A model of consumer behavior in response to incentives is designed in a mechanism design framework in (Zhou et al, 2017), where aggregator collects the price elasticities of the demand as bids and then it selects the most susceptible users to incentives such that an aggregate reduction is obtained. In (Fahrioglu and Alvarado, 2001), truthful contracts are designed for DR, which maximize the power utility company benefit function subject to individual rationality and incentive-compatible constraints. A VCG mechanism applied in DR is presented in (Samadi et al, 2012), where the authors ver-ify some properties such as efficiency, user truthfulness, and nonnegative transfer.…”
Section: Introductionmentioning
confidence: 99%