Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model
Two on step ahead wind speed forecasting models were compared. A univariate model was developed using a linear autoregressive integrated moving average (ARIMA). This method’s performance is well studied for a large number of prediction problems. The other is a multivariate model developed using a no...
Main Authors: | Erasmo Cadenas, Wilfrido Rivera, Rafael Campos-Amezcua, Christopher Heard |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-02-01
|
Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/9/2/109 |
Similar Items
-
Enhanced Prediction of Solar Radiation Using NARX Models with Corrected Input Vectors
by: Eduardo Rangel, et al.
Published: (2020-05-01) -
Wind Speed Modeling by Nested ARIMA Processes
by: So-Kumneth Sim, et al.
Published: (2018-12-01) -
A Comparative Analysis of the ARIMA and LSTM Predictive Models and Their Effectiveness for Predicting Wind Speed
by: Meftah Elsaraiti, et al.
Published: (2021-10-01) -
Comparison of simulation and predictive efficacy for hemorrhagic fever with renal syndrome incidence in mainland China based on five time series models
by: ZhenDe Wang, et al.
Published: (2024-02-01) -
Hybrid Model for Time Series of Complex Structure with ARIMA Components
by: Oksana Mandrikova, et al.
Published: (2021-05-01)