Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model
Accurate global solar radiation prediction is highly essential for related research on renewable energy sources. The cost implication and measurement expertise of global solar radiation emphasize that intelligence prediction models need to be applied. On the basis of long-term measured daily solar r...
Main Authors: | Muzhou Hou, Tianle Zhang, Futian Weng, Mumtaz Ali, Nadhir Al-Ansari, Zaher Mundher Yaseen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/11/12/3415 |
Similar Items
-
Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme
by: Hai Tao, et al.
Published: (2019-04-01) -
The Therapeutic Effects of West Indian Elm (Guazuma ulmifolia) Leaf Extract on Coronary Artery Atherosclerosis in Hypercholesterolemic Wistar Rats
by: Reza Ramadhansyah, et al.
Published: (2023-07-01) -
Industrialization in West Africa /
by: 248499 Onyemelukwe, J. O. C.
Published: (1984) -
Gene expression dynamics in input-responsive engineered living materials programmed for bioproduction
by: Widianti Sugianto, et al.
Published: (2023-06-01) -
Texture contrast soils (TCS) as indicators of eolian dust inputs in the coastal area of west central Senegal, West Africa
by: Aïdara C. A. Lamine Fall
Published: (2020-07-01)