Electricity load forecasting using hybrid of multiplicative double seasonal exponential smoothing model with artificial neural network
Electricity load forecasting often has many properties such as the nonlinearity, double seasonal cycles, and others those may be obstacles for accurate forecasting using some classical statistical models. Many papers in this field have proposed using double seasonal (DS) exponential smoothing model...
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| Format: | Thesis |
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2013
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