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 and João P. S. Catalão
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Fei Wang: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
Liming Liu: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Yili Yu: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Gang Li: Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
Jessica Li: Department of Education Policy, Organization and Leadership, College of Education, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Miadreza Shafie-khah: C-MAST, University of Beira Interior, 6201-001 Covilhã, Portugal
João P. S. Catalão: C-MAST, University of Beira Interior, 6201-001 Covilhã, Portugal

Energies, 2018, vol. 11, issue 4, 1-22

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.

Keywords: customized feedback; residential electricity load; consumption behavior; questionnaire design; energy policy; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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