Short-term load forecasting based on an adaptive hybrid method

  title={Short-term load forecasting based on an adaptive hybrid method},
  author={Shu Fan and Luonan Chen},
  journal={IEEE Transactions on Power Systems},
This paper aims to develop a load forecasting method for short-term load forecasting, based on an adaptive two-stage hybrid network with self-organized map (SOM) and support vector machine (SVM). In the first stage, a SOM network is applied to cluster the input data set into several subsets in an unsupervised manner. Then, groups of 24 SVMs for the next day's load profile are used to fit the training data of each subset in the second stage in a supervised way. The proposed structure is robust… CONTINUE READING

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