Energy Time Series Forecasting Based on Empirical Mode Decomposition and FRBF-AR Model
Energy time series forecasting is challenging due to its uncertainty of natural factor. Energy time series has nonlinear and non-stationary characteristics and not normally distributed, which makes it difficult to be forecast by statistical or computational intelligent methods. A set of locally line...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8660680/ |