Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing

Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

doi:10.2172/877323

Cited by 27 publications

(45 citation statements)

References 25 publications

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“…end-users actually reduce their peak period loads and these reductions do not wear off when the pricing plans are implemented over two consecutive summers. In addition, the work presented in [7] uses CES model to estimate price elasticity of large commercial or industrial users that participate the first large-scale application of real-time pricing in a competitive retail market in the U.S.…”

Section: A Ces Model Motivation and Other Approachesmentioning

confidence: 99%

Methodology for managing cost-effective demand response campaigns based on demand elasticity profiles

Anastopoulou

Kalogiros

Stamoulis

2017

2017 Sustainable Internet and ICT for Sustainability (SustainIT)

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Abstract-We develop and evaluate a methodology for running manual implicit and explicit Demand Response campaigns in order to improve the sustainability of smart grids. Initially, we introduce a flexibility profiling engine that relies on the correlation among end-user's consumption, prices and environmental conditions. Then, we investigate two mechanisms so that an Aggregator, acting as an intermediate between the Distribution System Operator or Retailer and the consumers, achieves the desired demand flexibility. More precisely we introduce: (i) a price-based mechanism that determines the new price that consumers will be paying during the DR campaign, and (ii) a reward-based mechanism that determines which set of consumers should participate in the campaign, along with the load flexibility to be asked from each one and the reward offered. The proposed methodology is evaluated using a publicly-available dataset. It is shown that CES model achieves high accuracy and that the details obtained using the proposed mechanisms are more favorable than the equivalent used. 1

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Section: A Ces Model Motivation and Other Approachesmentioning

confidence: 99%

Methodology for managing cost-effective demand response campaigns based on demand elasticity profiles

Anastopoulou

Kalogiros

Stamoulis

2017

2017 Sustainable Internet and ICT for Sustainability (SustainIT)

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“…Real-time demandresponse programs allow consumers to respond to electricity prices directly, offering mechanisms to help manage the electricity load in times of peak electricity demand to improve market efficiency, increase reliability, and relieve grid congestion. Significant consumer benefits also accrue from realtime demand-response programs, chiefly in the form of cost savings because of lower peak electricity prices, less opportunity for market manipulation by electricity providers, and additional financial incentives to induce their participation in these programs (Goldman et al 2005). …”

Section: Energy Efficiencymentioning

confidence: 99%

Cobenefits and Trade-Offs of Green and Clean Energy: Evidence from the Academic Literature and Asian Case Studies

Sovacool¹

2016

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.

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“…Figure 6 displays the demand-shedding effect of global set-point adjustment in one of the automated DR test sites in California. This large federal facility (about 1 million square feet) reduced its whole-building power by an average of 811 kW during this 3-hour test by raising the zone temperature set point from 72 to 78 F [15]. Figure 6 shows whole building power for the shed (the lower curve) and the whole-building baseline power predicted if the shed had not occurred.…”

Section: Emcs Carries Out Shed Commands Based On Business Logicmentioning

confidence: 99%

“…For example, recent research has examined the results of real-time pricing (RTP) in Niagara Mohawk service territory in upstate New York [15]. The default tariff for all large Niagara Mohawk customers (those with over 2 MW of service) is an RTP tariff; however, they may change to another service provider.…”

Section: Demand Response In New Yorkmentioning

confidence: 99%

Demand Responsive and Energy Efficient Control Technologies andStrategies in Commercial Buildings

Piette¹,

Kiliccote²

2006

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Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing

Cited by 27 publications

References 25 publications

Methodology for managing cost-effective demand response campaigns based on demand elasticity profiles

Methodology for managing cost-effective demand response campaigns based on demand elasticity profiles

Cobenefits and Trade-Offs of Green and Clean Energy: Evidence from the Academic Literature and Asian Case Studies

Demand Responsive and Energy Efficient Control Technologies andStrategies in Commercial Buildings

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