Spatial Electric Load Forecasting Based on Least Squares Support Vector

Abstract:

This paper proposes a new spatial load forecasting method for distribution network based on least squares support vector machine. The method adopt data, the characteristic of which is similar with forecast sample, to training in order to obtain the regression coefficients and bias, which we need to do the forecasting.Atthe same time,compare with artificial neural network model,The least squares support vector machine transforms quadratic programming problems into linear equations, thus avoiding the insensitive loss function, greatly reducing the computational complexity and further improving the accuracy of the prediction model. Finally, the effectiveness and practicality are verified by examples.

• Periodical: Advanced Materials Research (Volumes 986-987)
• Pages: 542-545
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.986-987.542
• Online since: July 2014
• Authors: Yan Bin Li*, Yun Li, Le Cao, Wei Guo Li
• Keywords: Least Square Support Vector Machine, MATLAB Simulation, Spatial Load Forecasting

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