DocumentCode
42849
Title
When Bias Matters: An Economic Assessment of Demand Response Baselines for Residential Customers
Author
Wijaya, Tri Kurniawan ; Vasirani, Matteo ; Aberer, Karl
Author_Institution
Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
Volume
5
Issue
4
fYear
2014
fDate
Jul-14
Firstpage
1755
Lastpage
1763
Abstract
Demand response (DR) has been known to play an important role in the electricity sector to balance supply and demand. To this end, the DR baseline is a key factor in a successful DR program since it influences the incentive allocation mechanism and customer participation. Previous studies have investigated baseline accuracy and bias for large, industrial and commercial customers. However, the analysis of baseline performance for residential customers has received less attention. In this paper, we analyze DR baselines for residential customers. Our analysis goes beyond accuracy and bias by understanding the impact of baselines on all stakeholders´ profit. Using our customer models, we successfully show how customer participation changes depending on the incentive actually received. We found that, in general, bias is more relevant than accuracy for determining which baseline provides the highest profit to stakeholders. Consequently, this result provides a valuable insight into designing effective DR incentive schemes.
Keywords
demand side management; incentive schemes; power system economics; profitability; supply and demand; DR program; balance supply and demand; baseline accuracy; baseline bias; baseline performance analysis; customer models; demand response baselines; economic assessment; effective DR incentive schemes; electricity sector; incentive allocation mechanism; influences bias matters; residential customers; stakeholder profit; Accuracy; Analytical models; Biological system modeling; Companies; Load management; Load modeling; Vectors; Demand response (DR) baseline; demand-side management; net benefit analysis; residential demand response; smart grid;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2014.2309053
Filename
6775334
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