Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/26435
Title: | Assessing the success of electricity demand response programs: A meta-analysis | Authors: | Srivastava, Aman VAN PASSEL, Steven Laes, Erik |
Issue Date: | 2018 | Source: | ENERGY RESEARCH & SOCIAL SCIENCE, 40, p. 110-117 | Abstract: | This paper conducts a meta-analysis of 32 electricity demand response programs in the residential sector to understand whether their success is dependent on specific characteristics. The paper analyses several regression models using various combinations of variables that capture the designs of the programs and the socio-economic conditions in which the programs are implemented. The analysis reveals that demand response programs are more likely to succeed in highly urbanized areas, in areas where economic growth rates are high, and in areas where the renewable energy policy is favorable. These findings provide useful guidance in determining where and how to implement future demand response programs. | Notes: | Srivastava, A (reprint author), Univ Antwerp, Fac Appl Econ, Dept Engn Management, Room B-106,Prinsstr 13, B-2000 Antwerp, Belgium. Aman.Srivastava@UAntwerpen.be; Steven.VanPassel@UAntwerpen.be; Erik.Laes@VITO.be | Keywords: | residential electricity; demand response; meta-analysis; demand side management | Document URI: | http://hdl.handle.net/1942/26435 | ISSN: | 2214-6296 | e-ISSN: | 2214-6326 | DOI: | 10.1016/j.erss.2017.12.005 | ISI #: | 000430737800014 | Rights: | © 2017 Elsevier Ltd. All rights reserved. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
srivastava 1.pdf Restricted Access | Published version | 206.98 kB | Adobe PDF | View/Open Request a copy |
Srivastava.2018.pdf | Peer-reviewed author version | 986.77 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.