Application of Combination Forecast Model in the Medium and Long Term Power Load Forecast

Abstract:

For seasonal and long-term power load forecasting problem, this paper presents an optimal combination forecasting method, which can optimize the combination of multiple predictive models. Optimize the combination of the two model predictions with two models as an example, which are the gray GM(1,1) model and linear regression model, and finally compare the predicted values of combination with the real values. The results show that: the combination forecasting method has a high prediction accuracy, and the error is very small.

• Periodical: Advanced Materials Research (Volumes 490-495)
• Pages: 1362-1366
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.490-495.1362
• Online since: March 2012
• Authors: Ke Zhao, Lin Gan, Zhong Wang, Yan Xiong
• Keywords: Combination Forecasts, Gray Model, Linear Regression Model, Moving Average, Power Load

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