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Open AccessArticle

Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response

1
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China
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Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
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Department of Education Policy, Organization and Leadership, College of Education, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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C-MAST, University of Beira Interior, 6201-001 Covilhã, Portugal
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INESC TEC and the Faculty of Engineering of the University of Porto, 4200-465 Porto, Portugal
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INESC-ID, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
Energies 2018, 11(4), 770; https://doi.org/10.3390/en11040770
Received: 16 February 2018 / Revised: 14 March 2018 / Accepted: 19 March 2018 / Published: 28 March 2018
(This article belongs to the Special Issue Recent Research Progress for Energy Policy)
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. View Full-Text
Keywords: customized feedback; residential electricity load; consumption behavior; questionnaire design; energy policy; demand response customized feedback; residential electricity load; consumption behavior; questionnaire design; energy policy; demand response
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Wang, F.; Liu, L.; Yu, Y.; Li, G.; Li, J.; Shafie-khah, M.; Catalão, J.P.S. Impact Analysis of Customized Feedback Interventions on Residential Electricity Load Consumption Behavior for Demand Response. Energies 2018, 11, 770.

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