Demand Response in U.S. Electricity Markets: Empirical Evidence

By Peter A. Cappers, C. Goldman, D. Kathan. 2010

473 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b9bf6e5035a806c197dc810946ad825b6c55e6d7

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In Electrical and Electronic Engineering

Citations in the corpus

Coupon Incentive-Based Demand Response: Theory and Case Study (2013, unknown): “RTO Regional transmission organization.”
Coordination of Energy Efficiency and Demand Response (2010, background): “In percentage 2-4 Coordination of Energy Efficiency and Demand Response terms, about 93 percent of the peak load reduction from existing demand response resources in the United States is provided by various types of incentive-based, event-driven demand response programs (Cappers et al., 2009).”
A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems (2015, background): “, have been recently enacted, which promote DR and allow customers and load aggregators taking part by means of DR resources in energy, capacity, and ancillary services markets [73]–[75].”
Demand Response for Ancillary Services (2013, background): “The bulk of the literature focuses on traditional demand response (DR) for emergency load relief and peak load management [3], [4] or price responsive demand [5].”
Aggregate Flexibility of Thermostatically Controlled Loads (2015, background): “While there is considerable literature on indirect load control through price proxies [11]–[13], it is our view that these do not meet the stringent auditing requirements necessary to participate in regulation ancillary service markets.”
Business models for distributed energy resources: A review and empirical analysis (2017, background): “The majority of DR and EMS business models have emerged in restructured power markets [32,34,35].”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “RTP mechanisms have already been applied to large industrial and commercial customers [122].”
Challenges and barriers to demand response deployment and evaluation (2015, background): “Some systems, the New York Independent System Operator (NYISO) and PJM for example, permit participation of DR resources in their AS markets [8], however, it is noted in [41] that, in the US, DR resources are minor players in AS markets in most jurisdictions.”
Time-based pricing and electricity demand response: Existing barriers and next steps (2016, background): “At this time, there was increasing recognition of rising system costs to meet the peaking loads, and utilities began to view load management as a reliability resource (Cappers et al., 2010; Koliou et al., 2014).”