Hybrid Approach Combining SARIMA and Neural Networks for Multi-Step Ahead Wind Speed Forecasting in Brazil

Hybrid Approach Combining SARIMA and Neural Networks for Multi-Step Ahead Wind Speed Forecasting in Brazil

This paper proposes a hybrid approach based on seasonal autoregressive integrated moving average (SARIMA) and neural networks for multi-step ahead wind speed forecasting using explanatory variables. In the proposed model, explanatory variables are first predicted, and wind speed forecasting is perfo...

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Bibliographic Details
Main Authors: David B. Alencar, Carolina M. Affonso, Roberto C. L. Oliveira, Jose C. R. Filho
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
SARIMA model
explanatory variable selection
multi-step ahead
neural networks
wind speed forecasting
Online Access:https://ieeexplore.ieee.org/document/8478133/

Internet

https://ieeexplore.ieee.org/document/8478133/

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