Intelligent techniques, harmonically coupled and SARIMA models in forecasting solar radiation data: A hybridization approach
The unsteady and intermittent feature (mainly due to atmospheric mechanisms and diurnal cycles) of solar energy resource is often a stumbling block, due to its unpredictable nature, to receiving high-intensity levels of solar radiation at ground level. Hence, there has been a growing demand for acc...
Main Authors: | K.S. Sivhugwana, E. Ranganai |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Cape Town
2020-10-01
|
Series: | Journal of Energy in Southern Africa |
Subjects: | |
Online Access: | https://journals.assaf.org.za/index.php/jesa/article/view/7754 |
Similar Items
-
Do Dynamic Neural Networks Stand a Better Chance in Fractionally Integrated Process Forecasting?
by: Majid Delavari, et al.
Published: (2013-06-01) -
The Problem of the SARIMA Model Selection for the Forecasting Purpose
by: Josef Arlt, et al.
Published: (2017-12-01) -
Application of Neural Network Time Series (NNAR) and ARIMA to Forecast Infection Fatality Rate (IFR) of COVID-19 in Brazil
by: Ansari Saleh Ahmar, et al.
Published: (2021-03-01) -
Modelling and forecasting Zimbabwe’s immigrants using SARIMA models.
by: Tendai Makoni, et al.
Published: (2019-02-01) -
Forecasting the Electric Energy Supply in Duhok Province using Proposed Methods Based on Wavelet Analysis and Sarima Methods
by: Qais M. Abdulqader
Published: (2017-06-01)