Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model

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...

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Bibliographic Details
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:
global solar radiation
FOS-ELM model
input optimization
West Africa region
energy harvesting
Online Access:https://www.mdpi.com/1996-1073/11/12/3415

Internet

https://www.mdpi.com/1996-1073/11/12/3415

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