Proposing a Hybrid Genetic Algorithm based Parsimonious Random Forest Regression (H-GAPRFR) technique for solar irradiance forecasting with feature selection and parameter optimization-Reference-Cited by-同舟云学术

Proposing a Hybrid Genetic Algorithm based Parsimonious Random Forest Regression (H-GAPRFR) technique for solar irradiance forecasting with feature selection and parameter optimization

Published:2022-07-28 Issue:3 Volume:15 Page:1925-1942
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

J. Josalin Jemima^ORCID,D. Nelson Jayakumar,S. Charles Raja,P. Venkatesh

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-022-00839-y.pdf

Reference41 articles.

1. Altan A, Karasu S, Zio E (2021) A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer. Appl Soft Comput 100:106996. https://doi.org/10.1016/j.asoc.2020.106996

2. Assouline D, Mohajeri N, Scartezzini J-L (2018) Large-scale rooftop solar photovoltaic technical potential estimation using Random Forests. Appl Energy 217:189–211. https://doi.org/10.1016/j.apenergy.2018.02.118

3. Ayodele TR, Ogunjuyigbe ASO, Amedu A, Munda JL (2019) Prediction of global solar irradiation using hybridized k-means and support vector regression algorithms. Renew Energy Focus 29:78–93. https://doi.org/10.1016/j.ref.2019.03.003

4. Babar B, Luppino LT, Boström T, Anfinsen SN (2020) Random forest regression for improved mapping of solar irradiance at high latitudes. Sol Energy 198:81–92. https://doi.org/10.1016/j.solener.2020.01.034

5. Bas E, Egrioglu E, Kolemen E (2022) Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization. Granul Comput 7(2):411–420. https://doi.org/10.1007/s41066-021-00274-2

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial-temporal characteristics analysis of solar irradiance forecast errors in Europe and North America;Energy;2024-06

2. Crop Yield Prediction Based on Bacterial Biomarkers and Machine Learning;Journal of Soil Science and Plant Nutrition;2024-03-27

3. Synergistic Application of Multiple Machine Learning Algorithms and Hyperparameter Optimization Strategies for Net Ecosystem Productivity Prediction in Southeast Asia;Remote Sensing;2023-12-20

4. Application of Random Forest Algorithm in Agricultural Meteorological Disaster Statistics;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

5. Chromatics in Urban Landscapes: Integrating Interactive Genetic Algorithms for Sustainable Color Design in Marine Cities;Applied Sciences;2023-09-14