Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA
The accuracy of wind speed forecasting is important to control, and optimize renewable wind power generation. The nonlinearity in the patterns of wind speed data is the reason of inaccurate wind speed forecasting using a linear autoregressive integrated moving average (ARIMA) model. The inaccurate f...
Saved in:
Main Authors: | Shukur, Osamah Basheer, Lee, Muhammad Hisyam |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2015
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/58203/ http://dx.doi.org/10.1016/j.renene.2014.11.084 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Daily wind speed forecasting through hybrid AR-ANN and AR-KF models
by: Shukur, Osamah Basheer, et al.
Published: (2015) -
Artificial neural network and kalman filter approaches based on arima for daily wind speed forecasting
by: Shukur, Osamah Basheer
Published: (2015) -
Forecasting wind speed in peninsular Malaysia: An application of Arima and Arima-Garch models
by: Hussin, Nor Hafizah, et al.
Published: (2021) -
Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing
by: Kamisan, N. A. B., et al.
Published: (2021) -
Multi-population O'Hare with ARIMA, ARIMA-GARCH and ANN in forecasting mortality rate
by: Samsudin, Nurul Syuhada, et al.
Published: (2023)