Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree

By Behrooz Keshtegar, C. Mert, Ozgur Kisi. 2018

136 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/4aeb3411c1cec9f2c509f23cc25624f6d0fe2dfe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Muhammad Naveed Akhter
2. Hazlie Mokhlis
3. Noraisyah Mohamed Shah
4. Saad Mekhilef

In Electrical and Electronic Engineering

1. Muhammad Naveed Akhter
2. Hazlie Mokhlis
3. Noraisyah Mohamed Shah
4. Saad Mekhilef
5. Yousef A. Mahmoud
6. Ehab F. El-Saadany
7. Mohamed A. Abdelwahed
8. Zengshi Chen

In Management Science and Operations Research

1. Muhammad Naveed Akhter
2. Hazlie Mokhlis
3. Noraisyah Mohamed Shah
4. Saad Mekhilef

Citations in the corpus

• Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques (2019, methodology): “[59] investigated the accuracy of different regression methods such as RSM, MARS, M5 model tree and Kriging method for modelling of solar radiation in Adana and Antakya, Turkey.”