Hybrid Corrected Approach for Wind Power Forecasting Based on Ordinary Least Square Method

Abstract:

This paper shows an application of Ordinary Least Square (OLS) in the wind power forecasting field. The OLS algorithm is applied to obtain the estimated parameter of the hybrid correction model, and then the properly structured correction model was used to correct the forecasting errors form the physical forecasting method and the statistical forecasting method. Satisfactory experimental results are obtained for day-ahead forecast by using actual wind power data.

• Periodical: Advanced Materials Research (Volumes 846-847)
• Pages: 1392-1397
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.846-847.1392
• Online since: November 2013
• Authors: Hong Ying Yang*, Shuang Lei Feng, Bo Wang, Wei Sheng Wang, Chun Liu
• Keywords: Error Correction, Forecasting, Hybrid Method, Least Square (LS), Wind Power

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