Solar radiation prediction using improved soft computing models for semi-arid, slightly-arid and humid climates

In this research, monthly solar radiation is predicted in semi-dry, dry, and wet climates. Adaptive neurofuzzy interface system (ANFIS), radial basis function neural network (RBFNN), and multi-layer perceptron (MLP) models are used for predicting solar radiation (SR). Grasshopper algorithm (GOA) is...

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Podrobná bibliografie

Hlavní autoři:	Hailong Huang, Shahab S. Band, Hojat Karami, Mohammad Ehteram, Kwok-wing Chau, Qian Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2022-12-01
Edice:	Alexandria Engineering Journal
Témata:	Solar radiation Grasshopper optimization algorithm Semi-dry climate Dry climate
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1110016822002538
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