Conditional demand analysis: A technique to estimate end-use load shapes
Technical Report
·
OSTI ID:103278
- East Kentucky Power Cooperative, Winchester, KY (United States)
As more utilities incorporate end-use peak demand load forecasting techniques, the need for dependable appliance load shapes is becoming increasingly important. Given the expense of direct end-use metering and the lack of appropriate borrowed data, conditional demand analysis (CDA) is a viable alternative for providing these load shapes. This paper describes the CDA methodology used by East Kentucky Power Cooperative (EKPC) to extract appliance-specific load shapes from whole house metered data. The purpose of this study was to develop reasonable appliance load shapes to incorporate into EKPC`s peak demand forecasting model. A straightforward method utilizing ordinary least squares regression analysis on a small sample of metered residential households and their accompanying surveys was employed.
- Research Organization:
- Electric Power Research Inst., Palo Alto, CA (United States); Pacific Consulting Services, Albany, CA (United States)
- OSTI ID:
- 103278
- Report Number(s):
- EPRI-TR--105012; CONF-930969--
- Country of Publication:
- United States
- Language:
- English
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