Hybrid models for global solar radiation prediction: a case study
| Autor: | Mawloud Guermoui, Djemoui Lalmi, Abdelaziz Rabehi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Artificial neural network
Renewable Energy Sustainability and the Environment Computer science 020209 energy Computer Science::Neural and Evolutionary Computation 02 engineering and technology Building and Construction Perceptron computer.software_genre Global solar radiation 020401 chemical engineering Computer Science::Computer Vision and Pattern Recognition Multilayer perceptron 0202 electrical engineering electronic engineering information engineering Gradient boosting Data mining 0204 chemical engineering computer |
| Zdroj: | International Journal of Ambient Energy. 41:31-40 |
| ISSN: | 2162-8246 0143-0750 |
| DOI: | 10.1080/01430750.2018.1443498 |
| Popis: | This paper presents a comparison between different prediction models for solar radiation application. The present study assessed the performance of multi-layer perceptron (MLP) as well as boosted d... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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