Load forecasting using combination model of multiple linear regression with neural network for Malaysian City
Forecasting a multiple seasonal data is differ from a usual seasonal data since it contains more than one cycle in a data. Multiple linear regression (MLR) models have been used widely in load forecasting because of its usefulness in the forecast a linear relationship with other factors but MLR has...
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| Format: | Article |
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Penerbit Universiti Kebangsaan Malaysia
2018
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