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This paper investigates the behavior of a short term load forecasting system in the cross-substation scheme. The proposed forecasting system is based on the support vector machine with the input features of past loads and temperature. It is trained with the data from one substation and tested on the blind-test data from other substations. A set of real-world data from 4 substations in Bangkok, i.e...
This paper presents a new technique in short-term load forecasting (STLF.) The proposed method consists of the discrete wavelet transform (DWT) and support vector machines (SVMs.) The DWT splits up load time series into low and high frequency components to be the features for the SVMs. The SVMs then forecast each component separately. At the end we sum up all forecasted components to produce a final...
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