View in EDS HTML Full Text PDF Full Text

A Comprehensive Review of Consumer Models in Price-Based Demand Response and Their Applications to Electric Vehicles.

Saved in:
Bibliographic Details
Title: A Comprehensive Review of Consumer Models in Price-Based Demand Response and Their Applications to Electric Vehicles.
Authors: Li, Qinhao1 (AUTHOR), Fan, Suchun2 (AUTHOR) fansuchun@gtxy.edu.cn, Zhou, Lai1 (AUTHOR), Wang, Zhongwen1,2 (AUTHOR), Qi, Pan1 (AUTHOR)
Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2809. 40p.
Subject Terms: *Human behavior models, *Electric vehicles, *Renewable energy sources, *Consumption (Economics), *Time-based pricing
Abstract: The integration of renewable energy and rising electricity demand strain system flexibility. While price-based demand response (PBDR) improves flexibility through pricing signals, its efficacy hinges critically on accurate consumer modeling. Recognizing this pivotal role, this paper provides a comprehensive review of consumer models in PBDR and their applications to electric vehicles (EVs). First, a unified conceptual framework is presented, delineating the energy, information and financial flows among the system operator (SO), load aggregators (LAs), and end-users, and highlighting the central position of consumer modeling. Second, existing modeling approaches are systematically classified into four categories, namely rule-based, optimization-based, data-driven, and hybrid, to facilitate the selection of appropriate models by researchers and stakeholders for diverse scenarios. Furthermore, the application and adaptation of these models to EVs are critically analyzed, accounting for unique vehicular constraints. Subsequently, a systematic summary of the key characteristics and existing research gaps is provided. Finally, key directions for future research are proposed accordingly, aimed at incorporating bounded rationality into behavioral models, developing individualized consumer modeling coupled with user-specific dynamic pricing, and extending consumer modeling to residential multi-energy prosumers in integrated energy systems. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 194909258
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Comprehensive Review of Consumer Models in Price-Based Demand Response and Their Applications to Electric Vehicles.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Li%2C+Qinhao%22">Li, Qinhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Suchun%22">Fan, Suchun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> fansuchun@gtxy.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Lai%22">Zhou, Lai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhongwen%22">Wang, Zhongwen</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qi%2C+Pan%22">Qi, Pan</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2809. 40p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Human+behavior+models%22">Human behavior models</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Consumption+%28Economics%29%22">Consumption (Economics)</searchLink><br />*<searchLink fieldCode="DE" term="%22Time-based+pricing%22">Time-based pricing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The integration of renewable energy and rising electricity demand strain system flexibility. While price-based demand response (PBDR) improves flexibility through pricing signals, its efficacy hinges critically on accurate consumer modeling. Recognizing this pivotal role, this paper provides a comprehensive review of consumer models in PBDR and their applications to electric vehicles (EVs). First, a unified conceptual framework is presented, delineating the energy, information and financial flows among the system operator (SO), load aggregators (LAs), and end-users, and highlighting the central position of consumer modeling. Second, existing modeling approaches are systematically classified into four categories, namely rule-based, optimization-based, data-driven, and hybrid, to facilitate the selection of appropriate models by researchers and stakeholders for diverse scenarios. Furthermore, the application and adaptation of these models to EVs are critically analyzed, accounting for unique vehicular constraints. Subsequently, a systematic summary of the key characteristics and existing research gaps is provided. Finally, key directions for future research are proposed accordingly, aimed at incorporating bounded rationality into behavioral models, developing individualized consumer modeling coupled with user-specific dynamic pricing, and extending consumer modeling to residential multi-energy prosumers in integrated energy systems. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194909258
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19122809
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 40
        StartPage: 2809
    Subjects:
      – SubjectFull: Human behavior models
        Type: general
      – SubjectFull: Electric vehicles
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Consumption (Economics)
        Type: general
      – SubjectFull: Time-based pricing
        Type: general
    Titles:
      – TitleFull: A Comprehensive Review of Consumer Models in Price-Based Demand Response and Their Applications to Electric Vehicles.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Li, Qinhao
      – PersonEntity:
          Name:
            NameFull: Fan, Suchun
      – PersonEntity:
          Name:
            NameFull: Zhou, Lai
      – PersonEntity:
          Name:
            NameFull: Wang, Zhongwen
      – PersonEntity:
          Name:
            NameFull: Qi, Pan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
ResultId 1