Forecasting Energy Commodity Prices Using Neural Networks
A new machine learning approach for price modeling is proposed. The use of neural networks as an advanced signal processing tool may be successfully used to model and forecast energy commodity prices, such as crude oil, coal, natural gas, and electricity prices. Energy commodities have shown explosi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asia University
2012-01-01
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| Series: | Advances in Decision Sciences |
| Online Access: | http://dx.doi.org/10.1155/2012/289810 |