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Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting

Applied Soft Computing · 2017 · Vol. 54 · pp. 246–255
Xueheng QiuYe RenPonnuthurai Nagaratnam SuganthanG.A.J. Amaratunga
Energy Load and Power ForecastingMachine Fault Diagnosis TechniquesPower Transformer Diagnostics and InsulationHilbert–Huang transformComputer scienceDeep belief networkMode (computer interface)Demand forecastingSeries (stratigraphy)Artificial intelligenceOperator (biology)Boltzmann machineEnergy demand

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  • National Research Foundation Singapore
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