Title :
On the impact of demand response: Load shedding, energy conservation, and further implications to load forecasting
Author :
Tao Hong ; Pu Wang
Author_Institution :
SAS Inst., NC, USA
Abstract :
This paper discusses three aspects of demand response through a case study of a US utility: 1) how load profile changes due to demand response; 2) how much energy has been saved annually; 3) whether the load forecasts have been affected by demand response. A regression based approach is deployed to try to answer these questions. The results show that for this particular utility, the demand response programs on average help shave the peaks but do not significantly affect the annual sales. In addition, the forecasting accuracy can be improved by excluding the hours affected by demand response.
Keywords :
electricity supply industry; energy conservation; load forecasting; load shedding; US utility; annual sales; demand response programs; energy conservation; load forecasting; load profile; load shedding; regression based approach; Educational institutions; Forecasting; Linear regression; Load forecasting; Load management; Load modeling; Synthetic aperture sonar; demand response; load forecasting; multiple linear regression;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345192
