Combined empirical mode decomposition and dynamic regression model for forecasting electricity load demand
Electricity load demand forecasting is an important element in the electric power industry for energy system planning and operation. The forecast accuracy is the main characteristic in the forecasting process. Hence, in an attempt to achieve a good forecast, combined methods of empirical mode decomp...
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Format: | Thesis |
Language: | English |
Published: |
2015
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Online Access: | http://eprints.utm.my/id/eprint/53549/1/NuramirahAkromMFS2015.pdf |
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