Verifying the effects of your company`s own DSM programs
Technical Report
·
OSTI ID:103274
- Aspen Systems Corporation, Oak Ridge, TN (United States)
Throughout the country, utilities are pursuing Demand Side Management (DSM) with a variety of load objectives. Numerous programs and variations of programs have been developed to affect customer demand and energy usage characteristics. In effect, utilities themselves are modifying the phenomena which they are trying to forecast--that is, customer demand and energy consumption. Yet, many companies have not developed effective means to capture and validate the customer changes induced by DSM programs. This paper explores the issue, and provides several recommended techniques to capture and validate DSM program induced changes. The paper is based on the application of these techniques in several studies for particular utilities operating a range of DSM programs. Particular methods to be covered in the paper include: (1) Design and maintenance of program databases to capture DSM program induced changes at the customer and premise level. (2) Relationship of these program databases to the billing system and load research information to capture measured changes in kW and kWh. (3) Verification and validation of DSM program induced changes at customer premises via analytical methods and site visits. (4) Computation of statistically based error estimates for reported DSM measures installed at customer premises. The paper discusses how these procedures can be applied in the forecasting function by utilizing statistical adjustments to DSM program effects and the associated moving target of {open_quotes}embedded conservation{close_quotes}.
- Research Organization:
- Electric Power Research Inst., Palo Alto, CA (United States); Pacific Consulting Services, Albany, CA (United States)
- OSTI ID:
- 103274
- Report Number(s):
- EPRI-TR--105012; CONF-930969--
- Country of Publication:
- United States
- Language:
- English
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