| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6904445 | Applied Soft Computing | 2016 | 10 Pages |
Abstract
- A novel neuro-fuzzy controller to forecast carbon emission prices was built.
- A closed loop mechanism to enhance the forecasts was used.
- Forecasting performance in terms of errors end directional prediction was examined.
- Trading simulation results with the Buy and Hold strategy was compared.
- The neuro-fuzzy controller with the closed loop outperformed the other models.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
George S. Atsalakis,