Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/187848 
Year of Publication: 
2016
Citation: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 2 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2016 [Pages:] 74-81
Publisher: 
Elsevier, Amsterdam
Abstract: 
Demand response (DR) can expand the customer participation in the electricity market and lead by changing its pattern from a simple function to an interactive relation. There are various methods to evaluate the successful implementation of DR program, the most important of which is determination of customer baseline load (CBL). In fact, CBL is the expected pattern of customer consumption in the absence of DR programs. Few works have been done in the field of calculation of CBL in residential sector, while most of them have paid little attention to the impact of changes in weather conditions on these calculations. In this paper, a new method is presented for the calculation of CBL for customers in residential sector in the context of a smart grid, considering the impact of weather changes. The results clearly show the high impact of changes in weather conditions on the calculation of CBL, and also show the extent of effect of buildings' improved insulation on this parameter. It is also indicated that implementing DR programs can increase the willingness of customers in residential sector to improve the insulations of their buildings.
Subjects: 
Building insulation
Building load coefficient (BLC)
Customer baseline load (CBL)
Demand response (DR)
Demand side management (DSM)
Flexible load (FL)
Non-flexible load (NFL)
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.