Capturing aggregate flexibility in Demand Response

Mahnoosh Alizadeh, Anna Scaglione, Andrea Goldsmith, George Kesidis

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Flexibility in electric power consumption can be leveraged by Demand Response (DR) programs. The goal of this paper is to systematically capture the inherent aggregate flexibility of a population of heterogenous small appliances in a reduced-order fashion. We do so by clustering individual loads based on their characteristics and service constraints. We highlight the challenges associated with learning the customer response to economic incentives while applying demand side management to heterogeneous appliances. We also develop a framework to quantify customer privacy in cluster-based direct load scheduling programs.

Original languageEnglish (US)
Article number7040399
Pages (from-to)6439-6445
Number of pages7
JournalUnknown Journal
Issue numberFebruary
StatePublished - 2014
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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