Energy Commodity Price Forecasting with Deep Multiple Kernel Learning

Energy Commodity Price Forecasting with Deep Multiple Kernel Learning

Oil is an important energy commodity. The difficulties of forecasting oil prices stem from the nonlinearity and non-stationarity of their dynamics. However, the oil prices are closely correlated with global financial markets and economic conditions, which provides us with sufficient information to p...

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Bibliographic Details
Main Authors:	Shian-Chang Huang, Cheng-Feng Wu
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Series:	Energies
Subjects:	multiple kernel learning deep representation artificial intelligence energy market machine learning time series forecasting
Online Access:	https://www.mdpi.com/1996-1073/11/11/3029

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