Research of Annual Electricity Demand Forecasting Based on Kernel Partial Least Squares Regression

@article{Shen2012ResearchOA,
  title={Research of Annual Electricity Demand Forecasting Based on Kernel Partial Least Squares Regression},
  author={Jianxin Shen and Shanlin Yang},
  journal={2012 International Conference on Control Engineering and Communication Technology},
  year={2012},
  pages={601-604}
}
An important feature of the smart grid electricity is using prediction of high-precision power consumption for intelligent deployment, highly accurate forecasting of the power information is a key indicator of intelligent network. In this paper, we implement Gaussian kernel function to transform nonlinear regression of a low-dimensional to the linear regression in high-dimensional space. The power load forecasting model based on kernel partial least squares regression, can overcome the adverse… CONTINUE READING

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