Load forecasting based on self-organizing map and support vector machines

Abstract

Forecasting of future load demand is very important for decision making in system operation and planning. This paper presents a load forecasting model based on SOM (self-organizing map) and SVM (support vector machine). SOM is used as a clustering tool to divide the training data into subsets with different centers. SVM is used to fit the testing data based… (More)

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