Impact analysis of customized feedback interventions on residential electricity load consumption behavior for demand response

Fei Wang, Liming Liu, Yili Yu, Gang Li, Jessica Li, Miadreza Shafie-Khah, João P.S. Catalão

Research output: Contribution to journalArticle

Abstract

Considering the limitations of traditional energy-saving policies, a kind of energy conservation method called the Information Feedback to Residential Electricity Load Customers, which could impact the demand response capacity, has increasingly received more attention. However, most of the current feedback programs provide the same feedback information to all customers regardless of their diverse characteristics, which may reduce the energy-saving effects or even backfire. This paper attempts to investigate how different types of customers may change their behaviors under a set of customized feedback. We conducted a field survey study in Qinhuangdao (QHD), China. First, we conducted semi-structured interviews to classify four groups of customers of different energy-saving awareness, energy-saving potential, and behavioral variability. Then, 156 QHD households were surveyed using scenarios to collect feedback of different scenarios. Social science theories were used to guide the discussion on the behavior changes as a result of different feedback strategies and reveal the reasons for customers' behaviors. Using the Chi-Square test of independence, the variables that have strong correlations with the categories of residents are extracted to provide references for residents' classification. Finally, the practical implications and needs for future research are discussed.

Original languageEnglish (US)
Article number770
JournalEnergies
Volume11
Issue number4
DOIs
StatePublished - Apr 2018

Keywords

  • Consumption behavior
  • Customized feedback
  • Demand response
  • Energy policy
  • Questionnaire design
  • Residential electricity load

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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