Short-Term Load Forecasting Error Distributions and Implications for Renewable Integration Studies: Preprint
Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy Wind Program
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1063033
- Report Number(s):
- NREL/CP-5500-57340
- Resource Relation:
- Conference: To be presented at the IEEE Green Technologies Conference, 4-5 April 2013, Denver, Colorado
- Country of Publication:
- United States
- Language:
- English
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