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Analysis and synthesis of load forecasting data for renewable integration studies : preprint / N. Steckler [and three others].
Connect to full text Available online
View online- Format:
- Book
- Conference/Event
- Government document
- Author/Creator:
- Steckler, Nicholas, author.
- Conference Name:
- Annual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants (12th : 2013 : London, England)
- Series:
- Conference paper (National Renewable Energy Laboratory (U.S.)) ; NREL/CP-5D00-60270.
- NREL/CP ; 5D00-60270
- Language:
- English
- Subjects (All):
- Electric power-plants--Load--Forecasting.
- Electric power-plants.
- Electric power consumption--Forecasting.
- Electric power consumption.
- Interconnected electric utility systems--Research.
- Interconnected electric utility systems.
- Error analysis (Mathematics).
- Physical Description:
- 1 online resource (6 pages) : color illustrations.
- Place of Publication:
- Golden, CO : National Renewable Energy Laboratory, 2013.
- Summary:
- As renewable energy constitutes greater portions of the generation fleet, the importance of modeling uncertainty as part of integration studies also increases. In pursuit of optimal system operations, it is important to capture not only the definitive behavior of power plants, but also the risks associated with systemwide interactions. This research examines the dependence of load forecast errors on external predictor variables such as temperature, day type, and time of day. The analysis was utilized to create statistically relevant instances of sequential load forecasts with only a time series of historic, measured load available. The creation of such load forecasts relies on Bayesian techniques for informing and updating the model, thus providing a basis for networked and adaptive load forecast models in future operational applications.
- Notes:
- "November 2013."
- "Presented at the 12th International Workshop on Large-Scale Integration of Wind Power into Power Systems, London, England, October 22-24, 2013."
- Title from title screen (viewed on Apr. 22, 2014).
- Includes bibliographical references (page 6).
- OCLC:
- 877883215
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